JP7318354B2 - Vibration analysis diagnostic system - Google Patents

Description

The present invention relates to a vibration analysis diagnosis system and a vibration analysis diagnosis method.

For example, rotating parts such as rolling bearings are frequently used in rotating machine equipment such as elevator hoisting machines, associated rotating equipment, escalator driving devices, and spindles and motors for machine tools such as plants. In these machines and equipment, it is necessary to perform vibration analysis at a plurality of parts in order to measure the vibration of rotating parts, determine the presence or absence of abnormalities in bearings, determine the part where the abnormality occurs, and the like. In addition, vibrations in three axial directions may be detected in order to detect abnormalities in bearings with higher accuracy. In such a case where it is necessary to perform vibration analysis in multiple parts or in multiple directions, a vibration analysis/diagnosis system capable of performing vibration analysis more easily is desired.

In Patent Document 1 below, a motor installed in, for example, a nuclear power plant or a thermal power plant is targeted as a rotating device, and based on detection signals output from an acceleration pickup, a temperature sensor, and a tachometer, the bearing of the rotating device A measuring and diagnosing device for diagnosing the presence or absence of an abnormality in a bearing based on the measurement result of vibration generated in the bearing is described.

JP 2017-166960 A

By the way, in the conventional vibration analysis diagnosis system, the vibration sensor detects the vibration to be diagnosed, and the signal output from the vibration sensor is used to measure and analyze the vibration on the spot in real time. A method of recording the alternating current signal of the vibration to a storage device such as an IC recorder, or recording the output signals of multiple vibration sensors simultaneously to a storage device such as a multi-channel data recorder when measuring vibrations at multiple locations. There is a method to calculate and analyze the vibration measurement value later.

The sensor input terminal of the vibration analysis diagnostic system has an analog signal input system from the sensor and a drive power supply output system for the sensor, so the (voltage) signal recorded in these recorders is input to the vibration analysis diagnostic system. It is not possible. Therefore, in order to calculate or analyze the vibration value from the signal recorded in the recorder, an expensive measurement and analysis device such as an oscilloscope or FFT analyzer is required, which is costly and time-consuming.

The present invention has been made in view of the above problems, and by switching between a signal input from a vibration sensor and a signal input from an external device, vibration analysis can be performed on both input signals. An object of the present invention is to provide a vibration analysis diagnosis system and a vibration analysis diagnosis method.

In order to achieve the above object, a vibration analysis and diagnosis system according to one aspect of the present invention includes a vibration analysis device that performs vibration analysis on an input signal and wirelessly transmits the vibration analysis result, and an information terminal device that receives a vibration analysis result and diagnoses an abnormality to be diagnosed based on the vibration analysis result, wherein the vibration analysis device receives a signal input from a vibration sensor that detects the vibration to be diagnosed; , and a signal input from an external device.

Thereby, the vibration analysis can be performed by switching between the signal input from the vibration sensor and the signal input from the external device.

As a desirable aspect of the vibration analysis diagnostic system, the information terminal device receives vibration analysis results wirelessly transmitted from the plurality of vibration analysis devices, and determines an abnormality of the diagnosis target based on the vibration analysis results of the plurality of vibration analysis devices. is preferably diagnosed.

With the above configuration, vibration analysis can be performed for a plurality of parts to be diagnosed, and abnormality diagnosis of mechanical equipment can be performed with one information terminal device. As a result, processing in the information terminal device can be reduced.

Further, as a preferred aspect of the vibration analysis diagnostic system, it is preferable that the vibration analysis device selects one of the plurality of input signals to perform vibration analysis.

With the above configuration, the vibration analysis can be performed by switching the signals from the plurality of vibration sensors. As a result, the vibration analysis diagnosis system can be simplified, and the cost required for vibration analysis of the diagnosis target can be reduced.

Further, as a desirable aspect of the vibration analysis and diagnosis system, the vibration analysis device preferably includes an amplifier that amplifies the signal acquired by the vibration sensor, and a terminal section that outputs the output of the amplifier to the outside.

With the above configuration, the signal acquired by the vibration sensor can be amplified and output to the outside.

Further, as a preferred aspect of the vibration analysis and diagnosis system, it is preferable that the external device outputs an analog signal obtained by decoding the signal acquired by the vibration sensor and recorded as digital data.

As a result, vibration analysis can be performed using data acquired in the past and data acquired in other mechanical equipment.

Further, as a desirable aspect of the vibration analysis diagnostic system, it is preferable that the external device outputs a sine wave signal.

Thereby, the vibration analysis diagnostic system can be calibrated using the vibration analysis result.

Further, as a preferred aspect of the vibration analysis diagnostic system, it is preferable that the external device outputs a rectangular pulse signal indicating the rotation period of the rotating body.

As a result, the number of rotations of the rotating body can be detected using the vibration analysis result.

In order to achieve the above object, a vibration analysis diagnosis method according to one aspect of the present invention is a vibration analysis diagnosis method for performing vibration analysis diagnosis processing for diagnosing an abnormality in a diagnosis target, and detecting vibration in the diagnosis target. a step of selecting as the input signal one of a signal input from a vibration sensor and a signal input from an external device; and if the input signal is a signal input from the vibration sensor a step of supplying drive power to the vibration sensor, and stopping supply of the drive power when the input signal is a signal input from the external device; a step of performing a vibration analysis diagnosis process; a step of displaying the result of the vibration analysis diagnosis process as a tag including at least the date and time when the vibration analysis diagnosis process was performed, the mechanical equipment to be diagnosed, and the measurement site; and displaying a result of the vibration analysis diagnosis process by selecting the tag.

Accordingly, by switching between the signal input from the vibration sensor and the signal input from the external device, both input signals can be analyzed for vibration. In addition, by displaying the vibration analysis diagnosis processing result as a tag including information on the date and time when the vibration analysis diagnosis processing was performed, the mechanical equipment to be diagnosed, and the measurement part, maintenance management of the mechanical equipment to be diagnosed becomes easy. .

FIG. 1 is a diagram showing an example of mechanical equipment to be diagnosed by a vibration analysis diagnostic system according to a first embodiment. FIG. 2 is a conceptual diagram of a vibration analysis diagnosis system according to Embodiment 1. FIG. FIG. 3 is a schematic diagram showing a schematic configuration of the vibration analysis/diagnosis system according to the first embodiment. 4A is a block diagram showing an example of the configuration of the vibration analyzer according to Embodiment 1. FIG. 4B is a block diagram showing an example of the configuration of the vibration analysis apparatus according to Embodiment 1; FIG. FIG. 5 is a block diagram showing an example of the configuration of the information terminal device according to the first embodiment; FIG. 6 is a diagram showing the relationship between the part of the bearing and the damage frequency. FIG. 7 is a flow chart showing an example of an initial setting procedure in the vibration analysis diagnostic system according to the first embodiment. FIG. 8 is a diagram showing an example of an initial screen of the vibration analysis diagnostic program according to the first embodiment. FIG. 9 is a diagram showing an example of a utility screen of the vibration analysis diagnostic program according to the first embodiment. 10A is a diagram showing an example of a diagnostic condition setting screen of the vibration analysis diagnostic program according to the first embodiment; FIG. 10B is a diagram showing an example of a diagnostic condition setting screen of the vibration analysis diagnostic program according to the first embodiment; FIG. 10C is a diagram showing an example of a diagnostic condition setting screen of the vibration analysis diagnostic program according to the first embodiment; FIG. 10D is a diagram showing an example of a diagnostic condition setting screen of the vibration analysis diagnostic program according to the first embodiment; FIG. FIG. 11 is a flow chart showing an example of a vibration analysis diagnosis procedure in the vibration analysis diagnosis system according to the first embodiment. FIG. 12 is a flowchart showing an example of bearing diagnosis processing. FIG. 13 is a flowchart illustrating an example of vibration value measurement processing. FIG. 14 is a flowchart illustrating an example of simple diagnostic processing. FIG. 15 is a flowchart illustrating an example of frequency analysis processing. FIG. 16 is a diagram showing an example of a diagnostic processing end screen of the vibration analysis diagnostic program according to the first embodiment. 17 is a flow chart showing an example of a stored data display procedure in the vibration analysis diagnosis system according to the first embodiment; FIG. FIG. 18 is a diagram showing an example of a saved data display screen of the vibration analysis diagnostic program according to the first embodiment. FIG. 19 is a diagram showing an example of a vibration analysis diagnosis processing result display screen of the vibration analysis diagnosis program according to the first embodiment. 20 is a block diagram showing the configuration of an information terminal device according to the first modification of the first embodiment; FIG. FIG. 21 is a flow chart showing an example of the driving sound reproduction process. FIG. 22 is a flowchart illustrating an example of calibration processing. FIG. 23 is a flow chart showing an example of rotation speed measurement processing. FIG. 24 is a block diagram showing the configuration of a vibration analysis device according to Embodiment 2. FIG.

EMBODIMENT OF THE INVENTION Hereinafter, it demonstrates in detail, referring drawings for the form (henceforth embodiment) for implementing invention. In addition, the present invention is not limited by the following embodiments. In addition, components in the following embodiments include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those that fall within a so-called equivalent range. Furthermore, the constituent elements disclosed in the following embodiments can be combined as appropriate.

(Embodiment 1)
FIG. 1 is a diagram showing an example of mechanical equipment to be diagnosed by a vibration analysis diagnostic system according to a first embodiment. In addition, in the following description, the rolling bearing 11 provided in the mechanical equipment will be described as an example.

The rolling bearing 11 is arranged so as to be able to roll between the outer ring 12 fitted inside the housing 15 or the like of the mechanical equipment 1, the inner ring 13 fitted around the rotating shaft of the mechanical equipment 1, and the outer ring 12 and the inner ring 13. and a retainer (not shown) that retains the rolling elements 14 in a rollable manner. Hereinafter, the rolling bearing 11 is also simply referred to as "bearing 11".

FIG. 2 is a conceptual diagram of a vibration analysis diagnosis system according to Embodiment 1. FIG. As shown in FIG. 2, the vibration analysis/diagnosis system 10 according to the first embodiment, as a basic concept, individually switches the signals output from the plurality of vibration sensors 21, or switches the signals output from the plurality of vibration sensors 21. Vibration of a plurality of parts (bearing 11 in this case) of the mechanical equipment 1 shown in FIG.

FIG. 3 is a schematic diagram showing a schematic configuration of the vibration analysis/diagnosis system according to the first embodiment. As shown in FIG. 3, the vibration analysis/diagnosis system 10 according to the first embodiment includes, as a basic configuration, an information terminal device 40 for diagnosing an abnormality in the mechanical equipment 1 and an analysis result of an input signal to the information terminal device 40. Vibration analyzers 20-1, 20-2, . . . 20-n are provided. In this embodiment, n vibration analyzers 20-1, 20-2, . In the following description, the vibration analyzers 20-1, 20-2, .

The information terminal device 40 is, for example, a portable information terminal device such as a tablet. The information terminal device 40 can also be connected to a host computer (not shown) via a communication network such as the Internet or Wi-Fi (registered trademark). Alternatively, update data such as a damage frequency database, which will be described later, can be acquired and updated.

Data and various command signals are transmitted and received between the vibration analysis device 20 and the information terminal device 40 by means of communication means 100 . In the present disclosure, the communication means 100 is, for example, wireless communication means such as Bluetooth (registered trademark).

4A and 4B are block diagrams showing an example of the configuration of the vibration analysis apparatus according to Embodiment 1. FIG. 4A and 4B, the vibration analyzer 20-m is one of the vibration analyzers 20-1, 20-2, . . . , 20-n shown in FIG. integer). Hereinafter, it is also simply referred to as the “vibration analysis device 20”. In this embodiment, the vibration analysis device 20 performs vibration analysis by switching between a signal input from the vibration sensor 21 and a signal input from the external device 70 . FIG. 4A shows a state when a signal input from the vibration sensor 21 is selected. FIG. 4B shows a state when a signal input from the external device 70 is selected.

As shown in FIGS. 4A and 4B, the vibration analysis device 20 includes a high-pass filter (HP filter) 27 and an anti-alias filter (AA filter) 29 as a filter processing unit 22, an amplifier 28, an A/D conversion circuit 30, arithmetic processing It mainly includes a circuit 23 , an internal memory 24 , a transmission/reception section 26 , a power supply 31 , a switching section 32 , a vibration sensor drive power supply 33 , a switch circuit 34 , a switch circuit 35 and a switch circuit 36 . Examples of the switch circuits 34, 35, and 36 include electromagnetic relay circuits.

The vibration sensor 21 is composed of, for example, a piezoelectric acceleration sensor or the like. The vibration sensor 21 may be configured to be attached to the vibration analyzer 20 . In this case, the distal end portion of the vibration analyzer 20 to which the vibration sensor 21 is attached is formed with, for example, a female screw portion (not shown). may be detachable from the housing 15 of the mechanical equipment 1 .

The switching unit 32 is a component that controls the switch circuits 34 , 35 and 36 to switch between the signal input from the vibration sensor 21 and the signal input from the external device 70 . In the example shown in FIGS. 4A and 4B, the combination of the vibration sensor 21 and the external device 70 is one "CH" ("CHm" in FIGS. 4A and 4B).

The vibration sensor drive power supply 33 is a component that supplies power for driving the vibration sensor 21 via the switch circuit 34 .

The switching unit 32 controls the switch circuit 34 , the switch circuit 35 , and the switch circuit 36 according to the control command from the arithmetic processing circuit 23 . Specifically, when selecting a signal input from the vibration sensor 21, the switching unit 32 turns on the switch circuit 34, turns on the switch circuit 35, and turns on the switch circuit 36 as shown in FIG. 4A. to control off. As a result, power is supplied from the vibration sensor drive power source 33 to the vibration sensor 21 , and a signal input from the vibration sensor 21 is input to the high-pass filter (HP filter) 27 . When selecting a signal input from the external device 70, the switching unit 32 turns off the switch circuit 34, turns off the switch circuit 35, and turns on the switch circuit 36, as shown in FIG. 4B. Control. As a result, power supply from the vibration sensor driving power supply 33 to the vibration sensor 21 is stopped, and a signal input from the external device 70 is input to the high-pass filter (HP filter) 27 . Alternatively, the switch circuit 34, 35, and 36 may be controlled by the arithmetic processing circuit 23 without the switching unit 32. FIG. Alternatively, the switch circuits 35 and 36 may be configured by one switch circuit to switch between the signal input from the vibration sensor 21 and the signal input from the external device 70 . When the signal input from the vibration sensor 21 is selected, the switching unit 32 or the arithmetic processing circuit 23 turns on the vibration sensor driving power supply 33, and when the signal input from the external device 70 is selected, , the switching unit 32 or the arithmetic processing circuit 23 may turn off the vibration sensor drive power source 33 .

In this embodiment, the external device 70 includes, for example, a PC, data recorder, frequency oscillator, and the like. Signals input from the external device 70 include, for example, analog signals obtained by DA-converting digital data recorded on a CD or data recorder by a PC or data recorder, or sine wave signals generated by a frequency oscillator or the like. In the following description, the signal input from the external device 70 is assumed to be an analog signal obtained by decoding data acquired in the past or data acquired by other mechanical equipment. The digital data before decoding is preferably, for example, wav data recorded at a sampling frequency of 25.6 kHz or higher, or sound data such as compressed data such as MP3 format.

The power supply 31 is, for example, a secondary battery made up of a lithium battery or the like, and can be charged from the outside via a USB (Universal Serial Bus) cable or the like. A switch (not shown) for turning on/off the power supply 31 is provided on the side surface of the vibration analysis device 20 .

When the vibration sensor 21 is selected in the switching unit 32 , power is supplied from the vibration sensor drive power source 33 to the vibration sensor 21 via the switch circuit 34 . Thereby, the signal input from the vibration sensor 21 can be acquired. On the other hand, when the external device 70 is selected in the switching unit 32, power supply from the vibration sensor driving power supply 33 to the vibration sensor 21 is stopped, and a signal input from the external device 70 can be input. A signal switched by the switching unit 32 (hereinafter also simply referred to as an “input signal”) passes through the HP filter 27, the amplifier 28, the AA filter 29, and the A/D conversion circuit 30 in this order. Therefore, the HP filter 27 and the AA filter 29 constituting the filter processing unit 22 function as band-pass filters to extract a specific frequency band from the input signal, which is then amplified by the amplifier 28 and further processed by the A/D conversion circuit. 30 converts it into a digital signal and sends it to the arithmetic processing circuit 23 .

The arithmetic processing circuit 23 is a circuit configured by, for example, a microcontroller such as an MCU (Micro Control Unit) or a microprocessor such as a DSP (Digital Signal Processor).

The arithmetic processing circuit 23 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal. At this time, the arithmetic processing circuit 23 calculates the effective value, the peak value, and the peak value (peak value/effective value) in the frequency range of 10 Hz to 20 kHz as the acceleration vibration value, and temporarily stores them in the internal memory 24. do. In addition, the arithmetic processing circuit 23 calculates the effective value, the peak value, and the peak value (peak value/effective value) in the frequency range of 10 Hz to 1 kHz as the speed vibration value, and temporarily stores them in the internal memory 24. . Further, the arithmetic processing circuit 23 calculates both amplitude values in the frequency range of 10 Hz to 1 kHz as the displacement, and temporarily stores them in the internal memory 24 .

The arithmetic processing circuit 23 has a filtering function and performs filtering on a specific frequency band extracted by the HP filter 27 and the AA filter 29 . Therefore, in this embodiment, the filter processing function of the arithmetic processing circuit 23 functions as part of the filter processing section 22 of the present disclosure.

Further, the arithmetic processing circuit 23 performs absolute value processing and envelope processing on the filtered signal as necessary, and then performs FFT analysis to generate spectral data. The calculated spectral data are temporarily stored in the internal memory 24 . Note that, in the present embodiment, spectral data is averaged using exponential averaging.

The transmitting/receiving unit 26 receives various command signals from the information terminal device 40 , for example, and transmits signals such as spectrum data obtained by the analysis function of the arithmetic processing circuit 23 to the information terminal device 40 . In the present disclosure, as described above, data and various command signals are transmitted and received between the vibration analysis device 20 and the information terminal device 40 by the communication means 100, which is wireless communication means. Communication between the vibration analysis device 20 and the information terminal device 40 may be performed by wire.

FIG. 5 is a block diagram showing an example of the configuration of the information terminal device according to the first embodiment; As shown in FIG. 5 , the information terminal device 40 mainly includes a transmission/reception section 42 , an arithmetic processing circuit 43 , an internal memory 44 , a display operation section (display section) 45 and a speaker 46 .

The transmission/reception unit 42 performs transmission of various command signals and reception of signals such as spectrum data with the vibration analysis device 20 .

The display operation unit 45 is composed of, for example, a liquid crystal panel with a touch detection function. The screen display of the display operation unit 45 can be switched by control software built in the information terminal device 40 . The display operation unit 45 displays processing results such as vibration values, diagnosis results, various waveforms, etc., and various setting information in the vibration analysis diagnosis function of the bearing 11 to be diagnosed, for example, the name number of the bearing 11, the number of the rotating ring, etc. Each information such as rotation speed can be selected and input. The display operation section 45 corresponds to the display section in the present disclosure.

The arithmetic processing circuit 43 is a circuit configured by, for example, a microcontroller such as an MCU (Micro Control Unit) or a microprocessor such as a DSP (Digital Signal Processor).

The arithmetic processing circuit 43 refers to the damage frequency database (DB) stored in the internal memory 44 based on the spectrum data received from the transmission/reception unit 26 of the vibration analysis device 20, and determines the presence or absence of an abnormality in the bearing 11 and the location of the abnormality. Diagnose. The arithmetic processing circuit 43 corresponds to the bearing diagnosis section (diagnosis section) in the present disclosure.

The damage frequency stored in the damage frequency database (DB) of the internal memory 44 is the converted damage frequency for each part of the bearing 11 converted based on the predetermined rotational speed of the bearing 11, and is used for diagnosis. The damage frequency is obtained by calculating the reduced damage frequency using the actual rotational speed of the bearing 11 .

FIG. 6 is a diagram showing the relationship between the part of the bearing and the damage frequency. For example, using the relational expression shown in FIG. 6, the internal specifications (dimensions required for the relational expression shown in FIG. 6, rolling element , etc.), the inner ring flaw component Si, the outer ring flaw component So, and the rolling element flaw component Sb at a unit rotational speed are calculated in advance as the converted bearing damage frequency. A damage frequency database (DB) stored in the internal memory 44 associates each vibration sensor 21 provided corresponding to a plurality of bearings 11 of the mechanical equipment 1 with each converted bearing damage frequency for each bearing 11. and stored as a DLL (Dynamic Link Library).

The name number input of the bearing 11 may be selected from a name number list displayed on the display operation unit 45, or may be manually input individually. As for the bearing 11 whose model number is not registered, the bearing 11 can be calculated using the predetermined relational expression shown in FIG. We can calculate the damage frequency due to the site-by-site damage of . Also, for the bearings 11 whose name number is not registered, the converted damage frequency may be input. In this case, the internal memory 44 stores a predetermined relational expression shown in FIG. Alternatively, for bearings 11 whose name number is not registered, the converted damage frequency at a predetermined rotation speed calculated externally is directly input from the display operation unit 45, and the arithmetic processing circuit 43 uses this converted damage frequency. Alternatively, the damage frequency may be calculated based on the actual rotational speed of the mechanical component. In any case, the converted damage frequency of the bearing 11 whose name number is not registered is preferably stored in the internal memory 44 together with the name number so that it can be called up when the mechanical equipment 1 is actually operated.

Next, an initial setting procedure in the vibration analysis/diagnosis system 10 and the vibration analysis/diagnosis method according to this embodiment will be described.

FIG. 7 is a flow chart showing an example of an initial setting procedure in the vibration analysis diagnostic system according to the first embodiment. FIG. 8 is a diagram showing an example of an initial screen of the vibration analysis diagnostic program according to the first embodiment. FIG. 9 is a diagram showing an example of a utility screen of the vibration analysis diagnostic program according to the first embodiment. 10A, 10B, 10C, and 10D are diagrams showing examples of diagnostic condition setting screens of the vibration analysis diagnostic program according to the first embodiment. It is assumed that each vibration sensor 21 is installed at a plurality of locations of the mechanical equipment to be subjected to vibration analysis diagnosis before the initial setting procedure shown in FIG. 7 .

When the operator operates the display operation unit 45 (see FIG. 5) of the information terminal device 40 to start the vibration analysis diagnostic program according to the first embodiment (step S1), the information terminal device 40 performs the vibration analysis shown in FIG. The initial screen 2 of the diagnostic program is displayed (step S2).

As shown in FIG. 8, the initial screen 2 of the vibration analysis diagnostic program displays, for example, a diagnostic condition read button 201, a diagnostic start button 202, a utility button 203, an end button 204, and the like.

A diagnostic condition read button 201 is an operation button for reading preset diagnostic conditions. A diagnosis start button 202 is an operation button for instructing the start of vibration analysis diagnosis. A utility button 203 is an operation button for displaying the utility screen 3 shown in FIG. The end button 204 is an operation button for ending the vibration analysis diagnostic program.

When the operator operates the utility button 203 on the initial screen 2 to select "Utility" (step S3), the information terminal device 40 displays the utility screen 3 of the vibration analysis diagnostic program shown in FIG. 9 (step S4).

As shown in FIG. 9, the utility screen 3 of the vibration analysis diagnostic program displays, for example, a diagnostic condition setting button 301, a saved data read button 302, a data transmission button 303, a measurement point information update button 304, a return button 305, and the like. be done.

A diagnostic condition setting button 301 is an operation button for setting diagnostic conditions. A saved data read button 302 is an operation button for reading saved data after vibration analysis processing. A data transmission button 303 is an operation button for transmitting saved data to, for example, a data server device (not shown). The measurement point information update button 304 is an operation button for updating the information of the measurement points set on the diagnostic condition setting screens shown in FIGS. 10A to 10D. The return button 305 is an operation button for redisplaying the initial screen 2 of the vibration analysis diagnostic program shown in FIG.

When the operator operates the diagnostic condition setting button 301 on the utility screen 3 and selects "diagnostic condition setting" (step S5), the information terminal device 40 displays the diagnostic condition setting screen 4-1 shown in FIG. 10A. (step S6). 10A, the diagnostic condition setting screen 4-2 shown in FIG. 10B, the diagnostic condition setting screen 4-3 shown in FIG. 10C, and the diagnostic condition setting screen 4-4 shown in FIG. 10D. can be switched arbitrarily. 10A, a diagnostic condition setting screen 4-2 shown in FIG. 10B, a diagnostic condition setting screen 4-3 shown in FIG. 10C, and a diagnostic condition setting screen 4-4 shown in FIG. 10D. is displayed for each vibration sensor 21 . In the examples shown in FIGS. 10A, 10B, 10C, and 10D, any one of "CH1", "CH2", and "CH3" corresponding to each of the three input signals can be selected. FIGS. 10A, 10B, 10C, and 10D show examples in which the input signal "CH1" is selected.

As shown in FIG. 10A, a diagnostic condition setting screen 4-1 of the vibration analysis diagnostic program displays, for example, a basic setting window 401-1, a save button 402, a cancel button 403, and the like.

As shown in FIG. 10B, a diagnostic condition setting screen 4-2 of the vibration analysis diagnostic program displays, for example, a bearing setting window 401-2, a save button 402, a cancel button 403, and the like.

As shown in FIG. 10C, a diagnostic condition setting screen 4-3 of the vibration analysis diagnostic program displays, for example, a measurement condition setting window 401-3, a save button 402, a cancel button 403, and the like.

As shown in FIG. 10D, for example, a determination condition setting window 401-4, a save button 402, a cancel button 403, and the like are displayed on the diagnostic condition setting screen 4-4 of the vibration analysis diagnostic program.

A basic setting window 401-1 shown in FIG. 10A is a display area for performing basic settings for vibration analysis. Basic setting items to be input in the basic setting window 401-1 include, for example, input signal, type of vibration sensor, gain setting for input signal, sensitivity, plant, equipment to be diagnosed, measurement site, and other information.

A bearing setting window 401-2 shown in FIG. 10B is a display area for setting information about a bearing to be diagnosed. The bearing setting items to be input in the bearing setting window 401-2 include, for example, the mode, the name of the bearing, the number of revolutions, the rotating wheel, and the like.

A measurement condition setting window 401-3 shown in FIG. 10C is a display area for setting measurement conditions when performing vibration measurement. Measurement condition setting items input in the measurement condition setting window 401-3 include, for example, the maximum frequency, cutoff frequencies of various filters, the number of times of averaging, and the like.

A determination condition setting window 401-4 shown in FIG. 10D is a display area for setting determination conditions for abnormality determination. The determination condition setting items input in the determination condition setting window 401-4 include, for example, a determination threshold for acceleration (average value), a determination threshold for acceleration (peak value), and the like.

Hereinafter, the diagnostic condition setting screens 4-1, 4-2, 4-3, and 4-4 will be referred to as "diagnostic condition setting screen 4" unless otherwise specified. The basic setting window 401-1, the bearing setting window 401-2, the measurement condition setting window 401-3, and the judgment condition setting window 401-4 are collectively referred to as the "setting window 401" unless otherwise specified. Note that each item that can be set in each setting window 401 is an example, and the present disclosure is not limited by the items set in each setting window 401 .

A save button 402 shown in FIGS. 10A, 10B, 10C, and 10D is for saving various settings set in each setting window 401 and redisplaying the utility screen 3 of the vibration analysis diagnostic program shown in FIG. It is an operation button.

A cancel button 403 shown in FIGS. 10A, 10B, 10C, and 10D is an operation for canceling various settings set in each setting window 401 and redisplaying the utility screen 3 of the vibration analysis diagnostic program shown in FIG. is a button.

When the operator operates the display operation unit 45 of the information terminal device 40 and taps, for example, the setting window 401 on the diagnostic condition setting screen 4, a keyboard window (not shown) is displayed on the display operation unit 45, and the setting window is displayed. Various basic setting items in 401 can be input.

The operator operates the display operation unit 45 of the information terminal device 40 to input various setting items in the setting window 401 on the diagnostic condition setting screen 4 . At this time, either the signal input from the vibration sensor 21 or the signal input from the external device 70 is selected as the input signal (step S7).

Note that the operation of the switching unit 32 differs depending on the selected input signal. When the vibration sensor 21 is selected, power is supplied from the vibration sensor driving power source 33 to the vibration sensor 21 . Thereby, the signal input from the vibration sensor 21 can be acquired and arithmetically processed. On the other hand, when the external device 70 is selected by the switching unit 32, the power supply from the vibration sensor driving power source 33 is stopped, and the signal input from the external device 70 is arithmetically processed. As a signal input from the external device 70, in addition to an AC signal output from a data recorder or an IC recorder, sound data in WAV format, MP3 format, or the like can be reproduced by a PC and used.

When the operator operates the save button 402 or the cancel button 403 on the diagnostic condition setting screen 4 to select "save" or "cancel" of various settings (step S8), the information terminal device 40 displays the The utility screen 3 of the vibration analysis diagnostic program is redisplayed (step S9). Here, when the operator operates the save button 402 on the diagnostic condition setting screen 4 and selects "save" of various settings, the information terminal device 40 inputs in the setting window 401 on the diagnostic condition setting screen 4 The various setting items that have been set are stored in the internal memory 44 .

Further, when the operator operates the return button 305 on the utility screen 3 to select "return" (step S10), the information terminal device 40 redisplays the initial screen 2 of the vibration analysis diagnostic program shown in FIG. (step S11).

Then, when the operator operates the end button 204 on the initial screen 2 and selects "end" (step S12), the information terminal device 40 ends the vibration analysis diagnostic program according to the first embodiment, and performs vibration analysis. The initialization procedure in diagnostic system 10 is completed.

Next, the vibration analysis diagnosis procedure in the vibration analysis diagnosis system 10 and the vibration analysis diagnosis method according to this embodiment will be described.

FIG. 11 is a flow chart showing an example of a vibration analysis diagnosis procedure in the vibration analysis diagnosis system according to the first embodiment.

When the operator operates the display operation unit 45 (see FIG. 5) of the information terminal device 40 to start the vibration analysis diagnostic program according to the first embodiment (step S21), the information terminal device 40 performs the vibration analysis shown in FIG. The initial screen 2 of the diagnostic program is displayed (step S22).

When the operator operates the diagnostic condition read button 201 on the initial screen 2 and selects "diagnostic condition read" (step S23), the information terminal device 40 reads various settings stored in the internal memory 44 (step S24).

While the various settings are being read, the information terminal device 40 grays out the diagnosis start button 202 on the initial screen 2 on the display operation unit 45, and disables the selection of "start diagnosis".

After reading the various settings stored in the internal memory 44 is completed, the information terminal device 40 sets the vibration analysis device 20 based on the read various settings. At this time, the arithmetic processing circuit 23 of the information terminal device 40 controls the switching section 32 so as to operate according to the selected input signal. Specifically, as described above, when the vibration sensor 21 is selected, power is supplied from the vibration sensor drive power source 33 to the vibration sensor 21, and when the external device 70 is selected, the vibration sensor drive power source 33 control to stop the power supply to the As a result, arithmetic processing corresponding to the input signal is performed in vibration analysis diagnosis processing in the vibration analysis diagnosis system 10 according to this embodiment, which will be described later. After setting the vibration analysis device 20, the information terminal device 40 cancels the gray-out display of the diagnosis start button 202 on the initial screen 2 on the display operation unit 45, and enables selection of "diagnosis start".

When the operator operates the diagnosis start button 202 on the initial screen 2 and selects "diagnosis start" (step S25), the information terminal device 40 responds to the input signal of each CH set in the initial setting procedure described above. , the vibration analysis/diagnosis processing in the vibration analysis/diagnosis system 10 according to the present embodiment is sequentially performed.

Here, the vibration analysis diagnosis function in the vibration analysis diagnosis system 10 according to this embodiment will be described. The vibration analysis diagnostic system 10 according to the present embodiment shown in FIG. Each function of the function is mainly provided.

The bearing diagnosis function is a function of diagnosing the presence or absence of damage to the inner and outer rings and the rolling elements of the bearing, and the damaged parts.

The vibration value measurement function is a function to measure the effective value, peak value, and crest factor of vibration displacement, velocity, acceleration, and the like.

The simple diagnosis function compares the effective values, peak values, and crest factors of the detected vibration displacement, speed, acceleration, etc., with preset threshold values to determine whether there is an imbalance in the rotating part or an abnormality in the rolling bearing. It is a function to easily diagnose

The frequency analysis function is a function of displaying an FFT waveform obtained by frequency-analyzing a vibration waveform by FFT or the like.

In this embodiment, the vibration analysis/diagnosis system 10 implements at least one of the above-described bearing diagnosis function, vibration value measurement function, simple diagnosis function, and frequency analysis function as the vibration analysis/diagnosis function.

Specifically, the information terminal device 40 (see FIG. 5), for example, selects the input signal of CH set to "CH1" in the initial setting procedure described above (step S26) and realizes the vibration analysis diagnosis function described above. Vibration analysis diagnosis processing is performed for the purpose (step S27).

First, bearing diagnosis processing by the bearing diagnosis function will be described with reference to FIG. FIG. 12 is a flowchart showing an example of bearing diagnosis processing.

The arithmetic processing circuit 43 of the information terminal device 40 outputs a bearing diagnosis command corresponding to the input signal of the selected CH to the transmitting/receiving section 42 . The transmitter/receiver 42 transmits a bearing diagnosis command to the vibration analyzer 20 (see FIG. 5) corresponding to the input signal of the selected CH (step S102).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the bearing diagnosis command via the transmitter/receiver 26 starts bearing diagnosis processing (step S103).

The vibration analyzer 20 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S104).

The obtained vibration signal is filtered by the HP filter 27 and the AA filter 29 (step S105) to extract a specific frequency band. The arithmetic processing circuit 23 performs frequency analysis on the extracted predetermined frequency band and calculates an FFT waveform (step S106). After that, the arithmetic processing circuit 23 uses the filtering function of the arithmetic processing circuit 23 (a combination of an HP filter and an LP filter (not shown), or filtering by a bandpass filter or the like) to further filter out a predetermined frequency band from the specific frequency band. It extracts (step S107) and calculates an envelope FFT waveform (step S108).

Note that the FFT waveform is averaged using exponential averaging. The arithmetic processing circuit 23 is also an FFT calculation unit that calculates the frequency spectrum of the vibration signal, and calculates the frequency spectrum of the vibration signal based on the FFT algorithm and envelope analysis.

The vibration analysis device 20 transmits the frequency spectrum calculated by the arithmetic processing circuit 23 as spectrum data from the transmission/reception unit 26 to the information terminal device 40 . Since the data transmitted to the information terminal device 40 is spectrum data (see FIG. 3), the amount of data to be transmitted is greatly reduced compared to the case where the time waveform is directly transmitted to the information terminal device 40. FIG. Therefore, the data transfer time is shortened, and the communication time is shortened. Moreover, since processing in the arithmetic processing circuit 43 of the information terminal device 40, which will be described later, is reduced, abnormal heat generation and freezing of the information terminal device 40 can be prevented.

The spectrum data received by the transmitting/receiving section 42 of the information terminal device 40 is input to the arithmetic processing circuit 43 . The arithmetic processing circuit 43 refers to the damage frequency database (DB) recorded in the internal memory 44, and diagnoses whether or not there is an abnormality in the bearing 11 to be diagnosed (step S107).

Specifically, the arithmetic processing circuit 43 pre-calculates the bearing damage frequency caused by the damage of each part of the bearing 11 using the converted bearing damage frequency corresponding to the bearing and the actual rotational speed of the bearing 11 . Then, the spectroscopic data received from the vibration analyzer 20 is collated for each bearing damage frequency (whether "peak frequency = bearing damage frequency") to identify the presence or absence of an abnormality such as a scratch on the bearing 11 and its location. do.

Here, the bearing damage frequency components of the bearing 11 include bearing damage components, that is, inner ring damage component Si, outer ring damage component So, and rolling element damage component Sb. Become. Then, any one of the outer ring 12, the inner ring 13, and the rolling elements 14 is specified as the abnormal portion.

Then, the arithmetic processing circuit 43 stores the diagnosis result of the bearing 11 obtained as described above in the internal memory 44 as the vibration analysis diagnosis processing result (step S108), and returns to the vibration analysis diagnosis procedure shown in FIG.

Next, vibration value measurement processing by the vibration value measurement function will be described with reference to FIG. FIG. 13 is a flowchart illustrating an example of vibration value measurement processing.

The arithmetic processing circuit 43 of the information terminal device 40 (see FIG. 5) outputs a vibration value measurement command corresponding to the input signal of the selected CH to the transmission/reception section 42 . The transmitter/receiver 42 transmits a vibration value measurement command to the vibration analyzer 20 (see FIG. 4) corresponding to the input signal of the selected CH (step S202).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the vibration value measurement command via the transmission/reception unit 26 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S203).

Subsequently, the arithmetic processing circuit 23 calculates at least one vibration value of acceleration or velocity effective value (rms), peak value (peak), crest factor (c.f.), and displacement peak value (peak). is calculated (step S204).

Then, the vibration analysis device 20 transmits the vibration value calculated by the arithmetic processing circuit 23 as vibration value data from the transmission/reception unit 26 to the information terminal device 40 .

The vibration value data received by the transmitter/receiver 42 of the information terminal device 40 is input to the arithmetic processing circuit 43 . The arithmetic processing circuit 43 stores the vibration value calculation result obtained as described above in the internal memory 44 as the vibration analysis diagnosis processing result (step S205), and returns to the vibration analysis diagnosis procedure shown in FIG.

Next, simple diagnostic processing by the simple diagnostic function will be described with reference to FIG. FIG. 14 is a flowchart illustrating an example of simple diagnostic processing.

The arithmetic processing circuit 43 of the information terminal device 40 (see FIG. 5) outputs a simple diagnosis command corresponding to the input signal of the selected CH to the transmission/reception section 42 . The transmitter/receiver 42 transmits a simple diagnosis command to the vibration analyzer 20 (see FIG. 4) corresponding to the input signal of the selected CH (step S302).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the simple diagnosis command via the transmitter/receiver 26 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S303).

Subsequently, the arithmetic processing circuit 23 calculates a vibration value, which is a diagnostic parameter used in simple diagnosis (step S304). Specifically, the arithmetic processing circuit 23 sets the effective value (rms) of vibration acceleration and velocity, the peak value (peak), the crest factor (c.f.), and the peak value (peak) of displacement as diagnostic parameters. At least one vibration value is calculated.

Then, the vibration analysis device 20 transmits the vibration value calculated by the arithmetic processing circuit 23 as vibration value data from the transmission/reception unit 26 to the information terminal device 40 .

The vibration value data received by the transmitter/receiver 42 of the information terminal device 40 is input to the arithmetic processing circuit 43 . From the diagnostic parameters of acceleration, velocity, and displacement included in the vibration value data, it is possible to determine the absolute values of ISO standards (eg, ISO 10816-1, etc.) by a simple diagnostic function. Also, it is possible to perform a simple diagnosis using an arbitrary threshold value. For example, the arithmetic processing circuit 43 compares the effective value (rms) of acceleration and velocity, the peak value (peak), the crest factor (c.f.), and the peak value (peak) of displacement with respective threshold values. A simple diagnosis is performed (step S305). Specifically, the arithmetic processing circuit 43 determines that there is an abnormality in the rotating part or the bearing 11 when "effective value (rms), peak value (peak), crest factor (c.f.)>each threshold". , and each value is equal to or less than the threshold value, it is determined that there is no abnormality. In this case, each threshold may be stored in the internal memory 44 .

Then, the arithmetic processing circuit 43 stores the simple diagnosis result obtained as described above in the internal memory 44 as the vibration analysis diagnosis processing result (step S306), and returns to the vibration analysis diagnosis procedure shown in FIG.

The simple diagnosis in step S305 may be performed by the arithmetic processing circuit 23 of the vibration analyzer 20. FIG.

Next, frequency analysis processing by the frequency analysis function will be described with reference to FIG. FIG. 15 is a flowchart illustrating an example of frequency analysis processing.

The arithmetic processing circuit 43 of the information terminal device 40 (see FIG. 5) outputs a frequency analysis command corresponding to the input signal of the selected CH to the transmission/reception section 42 . The transmitter/receiver 42 transmits a frequency analysis command to the vibration analyzer 20 (see FIG. 4) corresponding to the input signal of the selected CH (step S402).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the frequency analysis command via the transmitter/receiver 26 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S403).

The acquired vibration signal is filtered by the HP filter 27 and the AA filter 29 (step S404) to extract a specific frequency band. After that, the arithmetic processing circuit 23 performs frequency analysis and calculates an FFT waveform (step S405). The calculation processing circuit 23 is an FFT calculation section that calculates the frequency spectrum of the vibration signal, and calculates the FFT waveform based on the FFT algorithm. Note that the FFT waveform is averaged using exponential averaging. Envelope processing can also be selectively performed.

Then, the vibration analysis device 20 transmits the FFT waveform calculated by the arithmetic processing circuit 23 as FFT waveform data from the transmission/reception unit 26 to the information terminal device 40 .

The FFT waveform data received by the transmitter/receiver 42 of the information terminal device 40 is input to the arithmetic processing circuit 43 . The arithmetic processing circuit 43 stores the FFT waveform obtained as described above in the internal memory 44 as a vibration analysis diagnosis processing result (step S406), and returns to the vibration analysis diagnosis procedure shown in FIG.

In the present embodiment, the vibration analysis diagnosis system 10 has the above-described bearing diagnosis processing (see FIG. 12), vibration value measurement processing (see FIG. 13), simple diagnosis processing (see FIG. 14), frequency analysis, and vibration analysis diagnosis functions. implement one or more of the processes (see FIG. 15);

Returning to the vibration analysis diagnosis procedure shown in FIG. For each set input signal, it is determined whether or not the vibration analysis diagnosis process has ended (step S28). If there is an input signal of CH for which the vibration analysis diagnosis process has not been completed (step S28; No), the process returns to step S26, and the process from step S26 until the vibration analysis diagnosis process of all the input signals of CH is completed. The processing up to S28 is repeated.

FIG. 16 is a diagram showing an example of a diagnostic processing end screen of the vibration analysis diagnostic program according to the first embodiment.

When the vibration analysis diagnosis processing of the input signals of all CHs is completed (step S28; Yes), the information terminal device 40 displays the diagnosis processing end screen 5 of the vibration analysis diagnosis program shown in FIG. The vibration analysis diagnosis procedure in the analysis diagnosis system 10 ends.

As shown in FIG. 16, on the diagnostic processing end screen 5 of the vibration analysis diagnostic program, for example, the simple diagnostic result of the input signal of each CH, and in the example shown in FIG. , simple diagnosis results 501-1, 501-2, 501-3 of each input signal of "CH1", "CH2", and "CH3", remeasurement (individual CH) button 502, remeasurement (all CH) button 503, A selection button 504 or the like for selecting the input signal of the CH to be remeasured individually is displayed.

A remeasurement (individual CH) button 502 is an operation for individually remeasuring the input signal of the CH selected by the selection button 504 (here, any of "CH1", "CH2", and "CH3"). is a button. A remeasurement (all CHs) button 503 is an operation button for performing remeasurement on input signals of all CHs (here, “CH1”, “CH2”, and “CH3”).

The operator operates the selection button 504 on the diagnostic processing end screen 5 to select a CH (here, one of "CH1", "CH2", and "CH3"), and remeasure (all CH) button 503. , and select "remeasurement (individual CH)", the vibration analysis diagnosis processing of the input signal of the selected CH can be performed again. In addition, the operator operates the remeasurement (all CH) button 503 on the diagnostic processing end screen 5 to select "remeasurement (all CH)", thereby input signals of all CHs (here, " CH1", "CH2", and "CH3") can be re-executed. The vibration analysis diagnosis processing result obtained by selecting "remeasurement (individual CH)" and "remeasurement (individual CH)" on the diagnosis processing end screen 5 is the vibration analysis diagnosis obtained by the vibration analysis diagnosis procedure described above. It is stored in the internal memory 44 in the same manner as the processing result.

Next, a stored data display procedure in the vibration analysis diagnosis system 10 and the vibration analysis diagnosis method according to this embodiment will be described.

17 is a flow chart showing an example of a stored data display procedure in the vibration analysis diagnosis system according to the first embodiment; FIG. FIG. 18 is a diagram showing an example of a saved data display screen of the vibration analysis diagnostic program according to the first embodiment. FIG. 19 is a diagram showing an example of a vibration analysis diagnosis processing result display screen of the vibration analysis diagnosis program according to the first embodiment.

When the operator operates the display operation unit 45 of the information terminal device 40 (see FIG. 5) to start the vibration analysis diagnostic program according to the first embodiment (step S31), the information terminal device 40 performs the vibration analysis shown in FIG. The initial screen 2 of the diagnostic program is displayed (step S32).

When the operator operates the utility button 203 on the initial screen 2 to select "Utility" (step S33), the information terminal device 40 displays the utility screen 3 of the vibration analysis diagnostic program shown in FIG. 9 (step S34).

When the operator operates the save data read button 302 on the utility screen 3 and selects "read save data" (step S35), the information terminal device 40 displays the save data display screen of the vibration analysis diagnostic program shown in FIG. 6 is displayed (step S36).

As shown in FIG. 18, for example, a saved data display window 601, a display button 602, a delete button 603, an edit button 604, and the like are displayed on the saved data display screen 6 of the vibration analysis diagnostic program.

Vibration analysis diagnosis processing results obtained by selecting "remeasurement (individual CH)" and "remeasurement (all CHs)" on the vibration analysis diagnosis procedure described above and the diagnosis processing end screen 5 of the vibration analysis diagnosis program are , "date/time", "plant", "equipment", "measurement position", and "CH" of the input signal, etc., when the vibration analysis diagnosis processing result is obtained, and stored in the internal memory 44. there is In the saved data display window 601, information such as "date/time", "plant", "diagnosis target equipment", "measurement part", and input signal "CH" when the vibration analysis diagnosis processing result is obtained is displayed as tags. A list of each vibration analysis diagnosis processing result is displayed. The operator can select each vibration analysis diagnosis processing result by checking the check box provided at the left end of the tag displayed in the saved data display window 601 .

A display button 602 is a selection button for displaying the vibration analysis diagnosis processing result selected in the saved data display window 601 . A delete button 603 is a selection button for deleting the vibration analysis diagnosis processing result selected in the saved data display window 601 . An edit button 604 is a selection button for editing the vibration analysis diagnosis processing result selected in the saved data display window 601 .

The operator operates the saved data display window 601 on the saved data display screen 6 to check the check box at the left end to select the vibration analysis diagnosis processing result (step S37). 6 by operating the display button 602 to select "display" (step S38), the information terminal device 40 displays the vibration analysis diagnosis processing result display screen 7 of the vibration analysis diagnosis program shown in FIG. Step S39), the stored data display procedure in the vibration analysis diagnostic system 10 is terminated.

As shown in FIG. 19, the vibration analysis diagnosis processing result display screen 7 of the vibration analysis diagnosis program includes, for example, a vibration analysis diagnosis processing result display window 701, vibration analysis diagnosis function buttons 702-1, 702-2, and 702-3. , 702-4, etc. are displayed. In FIG. 19, the result of simple diagnosis processing by the simple diagnosis function of the vibration sensor 21 of "CH1" is displayed in the vibration analysis diagnosis processing result display window 701, and the bearing diagnosis function, vibration value measurement function, frequency analysis function, and hearing function (described later) are displayed. ) are assigned as vibration analysis diagnosis function buttons 702-1, 702-2, 702-3, and 702-4.

When the operator operates the vibration analysis diagnosis function buttons 702-1, 702-2, 702-3, 702-4 on the vibration analysis diagnosis processing result display screen 7, the bearing diagnosis function, vibration value measurement function, simple diagnosis Vibration analysis diagnosis processing results in each vibration analysis diagnosis function of function, frequency analysis function, and hearing function (described later) can be selected and displayed in the vibration analysis diagnosis processing result display window 701 .

(First modification)
20 is a block diagram showing the configuration of an information terminal device according to the first modification of the first embodiment; FIG. The information terminal device 40a shown in FIG. 20 has a filter processing section 47 in addition to the configuration shown in FIG.

The vibration analysis/diagnosis system 10 according to the first modification of the first embodiment has the above-described bearing diagnosis function, vibration value measurement function, simple diagnosis function, and frequency analysis function as vibration analysis/diagnosis functions. Equipped with hearing function. The listening function is a function of reproducing the operating sound of the bearing 11 by the speaker 46 .

Driving sound reproduction processing by the listening function will be described with reference to FIG. FIG. 21 is a flow chart showing an example of the driving sound reproduction process.

When executing the vibration analysis diagnosis process (step S27) shown in FIG. The transmitting/receiving unit 42 transmits a driving sound reproduction command to the vibration analysis device 20 corresponding to the input signal of the selected CH (step S502).

The arithmetic processing circuit 23 of the vibration analyzer 20 (see FIG. 4) that has received the driving sound reproduction command via the transmitter/receiver 26 acquires the time waveform (vibration acceleration) of the input signal (step S503).

The vibration analysis device 20 transmits the time waveform (vibration acceleration) of the vibration acquired by the arithmetic processing circuit 23 from the transmission/reception unit 26 to the information terminal device 40a as time waveform data.

The time waveform data received by the transmitter/receiver 42 of the information terminal device 40a is input to the arithmetic processing circuit 43a. In order to enable repeated use of the vibration time waveform (vibration acceleration), the arithmetic processing circuit 43a stores the time waveform data in the internal memory 44 as a vibration analysis diagnosis processing result (step S504), and performs the vibration analysis shown in FIG. Return to diagnostic procedure.

When the operator operates the vibration analysis diagnosis function button 702-4 to which the hearing function is assigned on the vibration analysis diagnosis processing result display screen 7 of the vibration analysis diagnosis program shown in FIG. The filtering unit 47 of the device 40a performs filtering for extracting a specific frequency band that the operator wishes to listen to (step S505). The arithmetic processing circuit 43a calculates the FFT waveform of the filtered vibration signal based on the FFT algorithm (step S506) and outputs it to the speaker . As a result, the operating sound of the bearing 11 to be diagnosed is reproduced from the speaker 46 (S507).

The arithmetic processing circuit 43a of the information terminal device 40a shifts to an input standby state from the operator (step S508), and determines whether or not the operation performed by the operator in the input standby state is an operation to stop the hearing function. (Step S509).

When the operator performs an operation to stop the listening function (step S509; Yes), the arithmetic processing circuit 43a stops reproduction of the driving sound (step S510).

If the operator does not select to stop the listening function (step S509; No), processing according to the input content is performed. Here, for example, if the operator changes the desired frequency band to listen to, the process returns to step S505. That is, in step S505, filter processing for extracting a specific frequency band that the operator desires to listen to is performed, and processing from step S506 onward is performed.

Thus, by providing the filter processing unit 47 in the information terminal device 40a and performing the FFT analysis in the arithmetic processing circuit 43a, it is possible to reproduce the driving sound in the frequency band desired by the operator.

(Second modification)
In a second modified example of the first embodiment, a method for verifying the correctness of each calculation process in the vibration analysis/diagnosis system 10 will be described.

FIG. 22 is a flowchart illustrating an example of calibration processing. In the second modification of the first embodiment, for example, in the vibration analysis diagnosis procedure shown in FIG. 11, instead of each vibration analysis diagnosis process shown in FIGS. 12 to 15, it is assumed that the calibration process shown in FIG. 22 is performed. are doing.

In the second modification of the first embodiment, it is assumed that the signal that is input when the external device 70 is selected by the switching unit 32 is a sine wave signal generated by a frequency oscillator or the like. The external device 70 may be, for example, a frequency oscillator, or may be an analog signal obtained by DA-converting digital data recorded on a CD or data recorder by a PC or data recorder. In this case, the digital data before decoding is preferably, for example, wav data recorded at a sampling frequency of 25.6 kHz or higher, or sound data such as compressed data in MP3 format or the like. The aspect of the external device 70 does not limit the present disclosure.

Specifically, the arithmetic processing circuit 43 of the information terminal device 40 (see FIG. 5) issues a calibration command corresponding to the input signal of the selected CH, that is, the input signal of the CH to which the sine wave signal is input here. Output to the transmission/reception unit 42 . The transmitter/receiver 42 transmits a calibration command to the vibration analyzer 20 (see FIG. 4) corresponding to the input signal of the selected CH (step S602).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the calibration command via the transmitter/receiver 26 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S603).

Subsequently, the arithmetic processing circuit 23 calculates at least one vibration value of acceleration or velocity effective value (rms), peak value (peak), crest factor (c.f.), and displacement peak value (peak). is calculated (step S604).

The arithmetic processing circuit 23 performs frequency analysis on the acquired vibration signal and calculates an FFT waveform (step S605).

Then, the vibration analysis device 20 transmits the vibration value calculated by the arithmetic processing circuit 23 as vibration value data and the FFT waveform calculated by the arithmetic processing circuit 23 as FFT waveform data from the transmission/reception unit 26 to the information terminal device 40. do.

The vibration value data and the FFT waveform data received by the transmission/reception unit 42 of the information terminal device 40 are input to the arithmetic processing circuit 43 . The arithmetic processing circuit 43 stores the vibration value data and the FFT waveform obtained as described above in the internal memory 44 as a calibration processing result (step S606), and returns to the vibration analysis diagnosis procedure shown in FIG.

The calibration processing result in the calibration processing described above can be confirmed on the diagnostic processing end screen of the vibration analysis diagnostic program shown in FIG.

For example, assuming that the signal of a piezoelectric acceleration vibration sensor with a sensitivity of 5 mV/m/ ^s2 is input to the vibration analysis device 20 as the vibration sensor 21, the vibration acceleration effective value is 10 m/s ² _rms , the FFT spectrum If a frequency component with a frequency of 159 Hz and a peak level of 50 mV _rms and a sinusoidal waveform with a period of 6.28 msec are displayed above, the arithmetic processing of each part of the vibration analysis device 20 and the information terminal device 40 is appropriate. It can be determined that there is

(Third modification)
In the third modification of the first embodiment, a rotating body is used as a diagnostic target, and a method of measuring the number of revolutions of the diagnostic target rotating body using the vibration analysis diagnostic system 10 will be described.

FIG. 23 is a flow chart showing an example of rotation speed measurement processing. In the third modification of the first embodiment, for example, in the vibration analysis diagnosis procedure shown in FIG. 11, instead of each vibration analysis diagnosis process shown in FIGS. 12 to 15, the number of revolutions measurement process shown in FIG. is assumed.

In the third modified example of the first embodiment, the signal input when the external device 70 is selected by the switching unit 32 is assumed to be a pulse signal indicating the rotation period of the rotating body to be diagnosed. The external device 70 may be, for example, a rotation detection sensor. For example, the signal output from the rotation detection sensor may be digital data recorded on a CD, data recorder, or the like, and DA-converted by a PC or data recorder. It may also be an analog signal. In this case, the digital data before decoding is preferably, for example, wav data recorded at a sampling frequency of 25.6 kHz or higher, or sound data such as compressed data in MP3 format or the like. The aspect of the external device 70 does not limit the present disclosure.

Specifically, the arithmetic processing circuit 43 of the information terminal device 40 (see FIG. 5) receives the input signal of the selected CH, that is, here, a rectangular pulse signal indicating the rotation period of the rotor to be diagnosed. It outputs a rotational speed measurement command corresponding to the input signal of CH to the transmitting/receiving section 42 . The transmitting/receiving unit 42 transmits a rotational speed measurement command to the vibration analyzer 20 (see FIG. 4) corresponding to the input signal of the selected CH (step S702).

The arithmetic processing circuit 23 of the vibration analyzer 20 that has received the rotation speed measurement command via the transmission/reception unit 26 acquires the time waveform (vibration acceleration) of the input signal as a vibration signal (step S703).

Subsequently, the arithmetic processing circuit 23 calculates at least one vibration value of acceleration or velocity effective value (rms), peak value (peak), crest factor (c.f.), and displacement peak value (peak). is calculated (step S704).

The arithmetic processing circuit 23 performs frequency analysis on the acquired vibration signal and calculates an FFT waveform (step S705).

Then, the vibration analysis device 20 transmits the vibration value calculated by the arithmetic processing circuit 23 as vibration value data and the FFT waveform calculated by the arithmetic processing circuit 23 as FFT waveform data from the transmission/reception unit 26 to the information terminal device 40. do.

The vibration value data and the FFT waveform data received by the transmission/reception unit 42 of the information terminal device 40 are input to the arithmetic processing circuit 43 . The arithmetic processing circuit 43 stores the vibration value data and the FFT waveform obtained as described above in the internal memory 44 as a calibration processing result (step S706), and returns to the vibration analysis diagnosis procedure shown in FIG.

The rotation speed measurement processing result in the rotation speed measurement processing described above can be confirmed on the diagnosis processing end screen of the vibration analysis diagnosis program shown in FIG.

For example, when the number of revolutions of the rotating body is 1200 min ⁻¹ , the period of the rectangular pulse signal detected by the rotation detection sensor is 0.05 s, and frequency components with a frequency interval of 20 Hz are displayed on the FFT spectrum. Using these pieces of information, the number of revolutions of the rotating body to be diagnosed can be back calculated.

As described above, the vibration analysis and diagnosis system 10 according to the first embodiment includes the vibration analysis device 20 that performs vibration analysis of an input signal and wirelessly transmits the vibration analysis result, and the vibration analysis that is wirelessly transmitted from the vibration analysis device 20. An information terminal device 40, 40b for receiving a result and diagnosing an abnormality to be diagnosed based on the vibration analysis result is provided. The vibration analyzer 20 includes a switching unit that selects one of the signal output from the vibration sensor 21 that detects the vibration to be diagnosed and the signal input from the external device 70 as an input signal.

As a result, vibration analysis can be performed by switching between the signal input from the vibration sensor 21 and the signal input from the external device 70 .

In addition, the information terminal devices 40 and 40a receive vibration analysis results wirelessly transmitted from the plurality of vibration analysis devices 20, and diagnose abnormalities to be diagnosed based on the vibration analysis results of the plurality of vibration analysis devices 20. FIG.

With the above configuration, vibration analysis can be performed for a plurality of parts to be diagnosed, and abnormality diagnosis of the mechanical equipment 1 can be performed with one information terminal device 40, 40a. As a result, processing in the information terminal devices 40 and 40a can be reduced.

By inputting a sine wave signal from the external device 70, the vibration analysis diagnostic system 10 can be calibrated using the vibration analysis result.

Further, by inputting a rectangular pulse signal indicating the rotation period of the rotating body from the external device 70, the number of revolutions of the rotating body can be detected using the vibration analysis result.

Further, the vibration analysis diagnosis method according to the first embodiment uses either the signal input from the vibration sensor 21 that detects the vibration to be diagnosed or the signal input from the external device 70 as an input signal. A step of selecting, a step of performing vibration analysis diagnosis processing based on the vibration analysis result of the input signal, and the result of the vibration analysis diagnosis processing are at least the date and time when the vibration analysis diagnosis processing was performed, the mechanical equipment to be diagnosed, and the measurement part. and a step of displaying the result of vibration analysis diagnosis processing by selecting the tag.

As a result, vibration analysis can be performed by switching between the signal input from the vibration sensor 21 and the signal input from the external device 70 . In addition, by displaying the vibration analysis diagnosis processing result as a tag including information on the date and time when the vibration analysis diagnosis processing was performed, the mechanical equipment to be diagnosed, and the measurement part, maintenance management of the mechanical equipment to be diagnosed becomes easy. .

As described above, according to the present embodiment, the vibration analysis/diagnosis system 10 and the vibration analysis/diagnosis method capable of performing vibration analysis by switching between the signal input from the vibration sensor 21 and the signal input from the external device 70 are provided. can get.

(Embodiment 2)
FIG. 24 is a block diagram showing the configuration of a vibration analysis device according to Embodiment 2. FIG.

As shown in FIG. 24, the vibration analyzer 20a according to the second embodiment has an amplifier 61 that amplifies and outputs the output of the vibration sensor 21, and a terminal section 62 that outputs the output of the amplifier 61 to the outside. .

In the configuration of the vibration analysis device 20a according to the second embodiment shown in FIG. 24, for example, the output of the amplifier 61 can be output to an IC recorder, a data decoder, or the like via the terminal section 62. FIG. For this reason, for example, the signal acquired by the vibration sensor 21 is recorded as digital data by an IC recorder, data decoder, or the like, and in the above-described vibration analysis diagnosis process, an analog signal obtained by decoding the recorded digital data is output from the external device 70. can do. This makes it possible to perform vibration analysis diagnosis processing using data acquired in the past and data acquired in other mechanical equipment.

As described above, the vibration analyzer 20a according to the second embodiment is configured to include the amplifier 61 that amplifies the signal acquired by the vibration sensor 21 and the terminal section 62 that outputs the output of the amplifier 61 to the outside. A signal obtained by the vibration sensor 21 is recorded as digital data by an IC recorder, a data decoder, or the like, and an analog signal obtained by decoding the recorded digital data in the vibration analysis diagnosis process described above can be output from the external device 70. can. This makes it possible to perform vibration analysis diagnosis processing using data acquired in the past and data acquired in other mechanical equipment.

1 Mechanical equipment 2 Initial screen 3 Utility screens 4-1, 4-2, 4-3, 4-4 Diagnosis condition setting screen 5 Diagnosis processing end screen 6 Saved data display screen 7 Vibration analysis diagnosis processing result display screens 10, 10a, 10b vibration analysis diagnostic system 11 bearing (rolling bearing)
12 Outer ring 13 Inner ring 14 Rolling elements 20, 20-1, 20-2, . 27 HP filter 28 Amplifier 29 AA filter 30 A/D conversion circuit 31 Power supply 32 Switching unit 33 Vibration sensor driving power supply 34, 35, 36 Switching circuits 40, 40a Information terminal device 42 Transmission/reception unit 43 Arithmetic processing circuit 44 Internal memory 45 Display operation part (display part)
46 speaker 47 filter processing unit 50 switching device 61 amplifier 62 terminal unit 100 communication means 201 diagnostic condition read button 202 diagnostic start button 203 utility button 204 end button 301 diagnostic condition setting button 302 save data read button 303 data transmission button 304 measurement point information Update button 305 Return button 401-1 Basic setting window 401-2 Bearing setting window 401-3 Measurement condition setting window 401-4 Judgment condition setting window 402 Save button 403 Cancel button 501-1, 501-2, 501-3 Simple diagnosis Result 502 Re-measurement (individual CH) button 503 Re-measurement (all CH) button 504 Selection button 601 Saved data display window 602 Display button 603 Delete button 604 Edit button 701 Vibration analysis diagnosis processing result display windows 702-1, 702-2, 702-3, 702-4 Vibration analysis diagnosis function button Sb Rolling element damage component (damage frequency)
Si inner ring flaw component (damage frequency)
So Outer ring flaw component (damage frequency)

Claims (5)

a vibration analysis device that performs vibration analysis of an input signal and wirelessly transmits the vibration analysis results;
an information terminal device that receives a vibration analysis result wirelessly transmitted from the vibration analysis device and diagnoses an abnormality to be diagnosed based on the vibration analysis result;
with
The vibration analyzer is
A first switch circuit connected to a vibration sensor that detects the vibration to be diagnosed, and an external device that outputs an analog signal obtained by decoding digital data acquired by another mechanical equipment different from the vibration sensor . and a second switch circuit that selects either one of a first analog signal input from the vibration sensor and a second analog signal input from the external device as the input signal. a switching unit to
an A/D conversion circuit that converts the input signal into a digital signal;
an arithmetic processing circuit that performs vibration analysis of the digital signal transmitted from the A/D conversion circuit;
A vibration analysis diagnostic system. a vibration analysis device that performs vibration analysis of an input signal and wirelessly transmits the vibration analysis results;
an information terminal device that receives a vibration analysis result wirelessly transmitted from the vibration analysis device and diagnoses an abnormality to be diagnosed based on the vibration analysis result;
with
The vibration analyzer is
a switching unit that selects, as the input signal, one of a signal input from a vibration sensor that detects vibration to be diagnosed and a signal input from an external device;
The external device outputs a rectangular pulse signal indicating the rotation period of the rotating body.
Vibration analysis diagnostic system. The information terminal device
3. The vibration analysis and diagnosis system according to claim 1, wherein vibration analysis results wirelessly transmitted from a plurality of said vibration analysis devices are received, and an abnormality in said diagnosis target is diagnosed based on the vibration analysis results of said plurality of vibration analysis devices. . The vibration analyzer is
3. The vibration analysis diagnostic system according to claim 2 , wherein one of said plurality of input signals is selected for vibration analysis. The vibration analyzer is
an amplifier that amplifies the signal acquired by the vibration sensor;
a terminal section for externally outputting the output of the amplifier;
The vibration analysis diagnostic system according to any one of claims 2 to 4 .

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