JP2021131367A - Signal processing method, measurement device, and signal processing program - Google Patents

Abstract

To provide an antirattler with a simple, inexpensive measurement unit for measuring vibration characteristics of a rotary body, which is capable of handling layout changes and multiple disturbance vibrations.SOLUTION: A signal processing method for obtaining vibration characteristics of a rotary body by rotating the rotary body using a measurement device is provided, the signal processing method comprising the steps of: acquiring, with a sensor, natural vibration data of disturbance vibrations other than vibrations caused by rotation of the rotary body acting on the measurement unit; and determining the amount of shift in rotation speed of the rotary body with respect to the natural vibration data on the basis of the natural vibration data of the disturbance vibrations.SELECTED DRAWING: Figure 4

Description

The present invention relates to signal processing methods, measuring devices and signal processing programs.

There is a technique for measuring the amount of unbalanced weight of a rotating body such as a tire by acquiring the vibration characteristics. For example, in Patent Document 1, a tire is attached to a rotating shaft rotated by a motor and rotated, a load acting on the rotating shaft is acquired by a load sensor (load sensor), and the acquired waveform is analyzed to obtain a tire unannounced. The amount of balance is being measured. In this measuring device, the unbalanced amount of the rotating body (tire) is based on the load signal obtained by filtering the second and higher harmonic signal components included in the load signal output from the load sensor by the harmonic removal filter. Is being measured.

Japanese Unexamined Patent Publication No. 2014-55923

The measuring device for measuring the unbalanced amount of the rotating body (tire) described in Patent Document 1 is arranged in, for example, a factory, and the rotating bodies are sequentially added to proceed with the measurement for each rotating body. However, for example, in a factory, a plurality of other devices are driven, a vehicle for transportation, and a forklift run. Therefore, the disturbance vibration from these vibration sources may be transmitted from, for example, the ground on which the measuring device is placed, and may affect the load acquired by the measuring device.

Conventionally, vibration is transmitted to the measuring device by filling the ground on which the measuring device is placed with a material such as concrete that is difficult to transmit vibration and providing an insulating material to insulate the vibration around it. I was suppressing that. However, such a method of performing a large-scale construction work around the measuring device requires an expensive construction cost, and it is difficult to cope with a layout change such as a change in the arrangement position of the measuring device. Further, it is difficult to suppress the transmission of disturbance vibrations having different vibration frequencies to the measuring device.

Further, although the measuring device described in Patent Document 1 can remove harmonic signal components of the second order or higher, the influence of other frequency components cannot be completely eliminated.

Provided in view of the above, a signal processing method, a measuring device, and a signal processing program for measuring the vibration characteristics of a rotating body, which is simple and inexpensive, and can cope with layout changes and a plurality of disturbance vibrations. With the goal.

In order to solve the above-mentioned problems and achieve the object, the signal processing method according to the embodiment of the present disclosure is a signal processing method for rotating a rotating body and acquiring the vibration characteristics of the rotating body. , The step of acquiring the natural vibration data of the disturbance vibration other than the vibration caused by the rotation of the rotating body by the sensor, and the natural vibration data of the rotation speed of the rotating body based on the natural vibration data of the disturbance vibration. It includes a step of determining the shift amount.

With this configuration, it is possible to determine the shift amount for shifting the rotation speed of the rotating body in the measuring device with respect to the natural vibration data of the disturbance vibration acquired by the sensor. As a result, if the rotating body is rotated by the determined shift amount, it is possible to avoid the characteristic frequency of the natural vibration data of the disturbance vibration. As a result, the influence of disturbance vibration can be suppressed when acquiring the vibration characteristics of the rotating body. Therefore, according to the present invention, it is possible to measure the vibration characteristics of a rotating body that can easily and inexpensively cope with layout changes and a plurality of disturbance vibrations.

In order to solve the above-mentioned problems and achieve the object, the measuring device according to the embodiment of the present disclosure includes a device main body that rotates a rotating body at a predetermined rotation speed and rotation of the rotating body that acts on the device main body. Based on the sensor that acquires the natural vibration data of disturbance vibration other than the vibration caused by the above, the load sensor that acquires the load acting on the main body of the apparatus by the rotation of the rotating body, and the natural vibration data and the load. A control unit for calculating the vibration characteristics of the rotating body is provided, and the control unit is provided with a shift amount with respect to the natural vibration data determined based on the natural vibration data of the disturbance vibration at the predetermined rotation speed. The rotating body is rotated, the load acting on the apparatus main body is measured by the load sensor, and the frequency band of the predetermined rotation speed is extracted by a predetermined filter process from the measured waveform of the load, and the extracted waveform is obtained. The vibration characteristics of the rotating body are specified based on the amplitude.

With this configuration, it is possible to determine the shift amount for shifting the rotation speed of the rotating body in the measuring device with respect to the natural vibration data of the disturbance vibration acquired by the sensor. As a result, if the rotating body is rotated by the determined shift amount, it is possible to avoid the characteristic frequency of the natural vibration data of the disturbance vibration. As a result, the influence of disturbance vibration can be suppressed when acquiring the vibration characteristics of the rotating body. Then, for the load acting on the measuring device when the rotating body is rotated at the predetermined rotation speed determined based on the shift amount, the frequency band of the predetermined rotation speed is extracted by the filtering process, so that an unnecessary frequency band is used. It is possible to accurately identify the vibration characteristics of the rotating body by eliminating the vibration waveform of. Therefore, according to the present invention, it is possible to measure the vibration characteristics of a rotating body that can easily and inexpensively cope with layout changes and a plurality of disturbance vibrations.

In order to solve the above-mentioned problems and achieve the object, the signal processing program according to the embodiment of the present disclosure rotates the rotating body to acquire the vibration characteristics of the rotating body. A step of acquiring natural vibration data of disturbance vibration other than the vibration caused by the above by a sensor, and a step of determining a shift amount of the rotation speed of the rotating body with respect to the natural vibration data based on the natural vibration data of the disturbance vibration. And to execute.

With this configuration, it is possible to determine the shift amount for shifting the rotation speed of the rotating body in the measuring device with respect to the natural vibration data of the disturbance vibration acquired by the sensor. As a result, if the rotating body is rotated by the determined shift amount, it is possible to avoid the characteristic frequency of the natural vibration data of the disturbance vibration. As a result, the influence of disturbance vibration can be suppressed when acquiring the vibration characteristics of the rotating body. Therefore, according to the present invention, it is possible to measure the vibration characteristics of a rotating body that can easily and inexpensively cope with layout changes and a plurality of disturbance vibrations.

It is simple and inexpensive, and has the effect of being able to measure the vibration characteristics of a rotating body that can handle layout changes and multiple disturbance vibrations.

FIG. 1 is a block diagram schematically showing the configuration of each part of the measuring device. FIG. 2 is a schematic diagram showing a schematic configuration of the measuring device. FIG. 3 is a cross-sectional view taken along the line AA of FIG. FIG. 4 is a flowchart showing an example of a signal processing method for detecting the vibration characteristics of a tire using a measuring device. FIG. 5 is a flowchart showing an example of the measurement process. FIG. 6 is a graph showing an example of the detection result. FIG. 7 is a flowchart showing another example of signal processing. FIG. 8 is a block diagram schematically showing the configuration of each part of the measuring device of another example. FIG. 9 is a flowchart showing an example of a signal processing method for detecting the vibration characteristics of a tire using the measuring device shown in FIG. FIG. 10 is a graph showing an example of the detection result. FIG. 11 is a flowchart showing another example of signal processing. FIG. 12 is a flowchart showing another example of a signal processing method for detecting the vibration characteristics of a tire using a measuring device.

Hereinafter, embodiments of the signal processing method and the measuring device of the present disclosure will be described in detail with reference to the drawings. The present invention is not limited to this embodiment. Hereinafter, in the present embodiment, the case where the rotating body for measuring the dynamic balance is a tire will be described, but the rotating body to be evaluated may be attached to the measuring device and used for various rotating bodies for evaluating the vibration characteristics. can. For example, the measuring device may use the rotating body as a turbocharger. That is, it can be used when evaluating the vibration characteristics of the turbocharger by using the turbine of the turbocharger or the like as a rotating body and the mechanism for supporting the rotating body as a measuring device.

FIG. 1 is a block diagram schematically showing the configuration of each part of the measuring device. FIG. 2 is a schematic diagram showing a schematic configuration of the measuring device. FIG. 3 is a cross-sectional view taken along the line AA of FIG. The measuring device 10 measures the balance of the tire which is a rotating body. Specifically, the measuring device 10 rotates the tire around the center of rotation of the tire and measures the imbalance in the rotation direction of the tire, that is, the deviation between the center of rotation and the position of the center of gravity. As shown in FIG. 1, the measuring device 10 includes a device main body 12 and a control unit 14.

Hereinafter, the configuration of the measuring device 10 will be described with reference to FIGS. 2 and 3 in addition to FIG. As shown in FIGS. 2 and 3, the apparatus main body 12 includes a frame 20, a motor 22, a rotation shaft 24, a rotation detection sensor 25, a tire support portion 26, a load sensor unit 28, and an accelerometer 30. ,including. Note that FIG. 1 shows a motor 22, a rotation detection sensor 25, a load sensor unit 28, and an accelerometer 30 in the configuration of the apparatus main body 12.

The frame 20 is fixed to the installation surface 2. The installation surface 2 is the floor surface and the ground surface of the factory. The frame 20 is a structure that supports each part of the apparatus main body 12 and the tire 4 to be inspected. The frame 20 includes a base 40, a vertical frame 42, a round bar 44, a connecting portion 46, a horizontal frame 47, a leaf spring 48, and a connecting portion 49. The base 40 of the frame 20 is fixed to the installation surface 2. The method of fixing the base 40 to the installation surface 2 is not particularly limited, but there are methods such as bolting, forming a recess corresponding to the base 40 on the installation surface 2, and placing the base 40 in the recess. The vertical frame 42 is a rod-shaped member extending in the vertical direction, and the lower end portion in the vertical direction is fixed to the base 40. The vertical frame 42 surrounds the motor 22 and is arranged in a rectangular shape. The vertical frame 42 does not have to be a plate-shaped member that completely surrounds the motor 22, and a plurality of rod-shaped members may be arranged at predetermined intervals. The frame 20 is provided with ribs at the connection portion between the vertical frame 42 and the base 40 to support the vertical frame 42.

The round bar 44 is a bar extending in the horizontal direction, one end of which is inserted into and fixed to the vertical frame 42, and the other end of which is in contact with the connecting portion 46. The round bar 44 extends in the horizontal direction and is arranged on two opposing sides of the rectangle of the vertical frame 42. Two round bars 44 are arranged side by side in the vertical direction. Further, the round bar 44 is arranged at a position where it overlaps with the extension line across the connecting portion 46.

The connecting portion 46 is fixed to the motor 22 and connects the round bar 44 and the motor 22. The connecting portion 46 is a flange extending in the vertical direction, and is sandwiched between round bars 44 arranged at two locations in the vertical direction.

The horizontal frame 47 is arranged on each of the four sides of the rectangle of the vertical frame 42, which is different from the side on which the round bar is arranged. The horizontal frame 47 is a rod-shaped member extending in the horizontal direction. One end of the horizontal frame 47 is connected to the vertical frame 42, and the other end is connected to the leaf spring 48. The leaf spring 48 is a member that extends in the vertical direction, the extending direction of the horizontal frame 47 is the short side, and the extending direction of the round bar 44 is the long side. The leaf spring 48 has an upper end in the vertical direction connected to the horizontal frame 47 and a lower end in the vertical direction connected to the connecting portion 49. The connecting portion 49 is fixed to the motor 22 and connects the leaf spring 48 and the motor 22.

The frame 20 is connected to the base 40, the vertical frame 42 becomes a rigid body, supports the connecting portions 46 arranged on the two opposite sides by the round bar 44, and the horizontal frame 47 and the leaf spring 48 support the other two opposite sides. Supports the connecting portion 49 arranged in. As a result, the motor 22 to which the connecting portions 46 and 49 are fixed is supported.

The motor 22 is supported by the frame 20. The motor 22 has a stator and a rotor that rotates with respect to the stator. In the motor 22, the connecting portion 46 and the connecting portion 49 are fixed to the stator and supported by the frame 20. The motor 22 rotates the rotor about the vertical direction with respect to the stator. In the motor 22, the rotating shaft 24 is connected to the rotor to rotate the rotating shaft 24. The rotating shaft 24 is a shaft rotated by the motor 22, and the tire support portion 26 is fixed to the upper end portion in the vertical direction. The rotation detection sensor 25 detects the rotation of the rotation shaft 24. As the rotation detection sensor 25, an optical sensor that detects one pulse per rotation or a rotary encoder can be used. In addition to the number of rotations (rotational speed), the rotation detection sensor 25 can also detect the phase at the timing of detecting an object that rotates integrally with the rotation shaft. The tire support portion 26 is a structure that rotates together with the rotation shaft 24 to support the tire 4 to be measured. The tire support portion 26 has a structure similar to that of the rim, and has a structure in which the contact portion with the tire 4 moves and deforms at the time of attachment / detachment so that the tire 4 can be easily attached / detached.

The load sensor unit 28 detects fluctuations in the frame 20 of the motor 22 that rotates the tire 4 with respect to the vertical frame 42 by changing the load. The load sensor unit 28 includes a base 50, arms 52 and 54, an upper load cell 56, and a lower load cell 58. The base 50 is fixed to the vertical frame 42. Specifically, the base portion 50 is fixed at a position facing the connecting portion 46 on the surface of the vertical frame 42 on which the rectangular round bar 44 and the connecting portion 46 are arranged. The arms 52 and 54 are rod-shaped rigid bodies fixed to the base 50, and their tips face the connecting portions 46. The arm portion 54 is arranged below the arm portion 52 in the vertical direction. The upper load cell 56 is fixed to the tip of the arm portion 52 and is in contact with the surface of the connecting portion 46. The lower load cell 58 is fixed to the tip of the arm portion 54 and is in contact with the surface of the connecting portion 46.

The load sensor unit 28 detects the displacement generated between the arm portions 52 and 54 and the connecting portion 46 as a change in load between the upper load cell 56 and the lower load cell 58. The load sensor unit 28 is a rotating shaft that supports and rotates the tire 4 by detecting two loads with the upper load cell 56 and the lower load cell 58 arranged at different positions in the axial direction of the rotating shaft 24. 24 displacements are detected. Although the load sensor unit 28 of the present embodiment detects the displacement of the rotating shaft by using the load cell, the displacement of the rotating shaft 24 may be detected by using a sensor other than the load cell. The apparatus main body 12 may detect the displacement of the rotating shaft 24 by using a displacement meter, a speedometer, or an accelerometer instead of the load sensor unit 28.

The accelerometer 30 is installed on the installation surface 2 near the frame 20. The accelerometer 30 detects the vibration 90 that is input to the installation surface 2 and transmitted to the frame 20. The accelerometer 30 sends the detected acceleration information of the installation surface 2 to the control unit 14.

Returning to FIG. 1, the control unit 14 of the measuring device 10 will be described. The control unit 14 includes a storage unit 70 and an arithmetic processing unit 72. The storage unit 70 stores a program for executing processing and data for setting various conditions. The storage unit 70 includes the vector filter 80 and the influence coefficient data 82. When detecting the characteristics of the tire 4, the vector filter 80 extracts a region corresponding to the rotation speed at which the tire 4 is rotated from the measurement result of the load sensor unit 28. It is preferable that the vector filter 80 includes a plurality of filters having different extraction regions according to the setting of the rotation speed for rotating the tire 4. In this case, the filter to be used is switched according to the test conditions. The influence coefficient data 82 is data used in the process of extracting the unbalanced amount of the tire 4 from the signal component extracted by the vector filter 80. The influence coefficient data 82 is data calculated in advance based on the configuration of the measuring device 10 and the rotation speed of the tire 4 at the time of the test. The influence coefficient data 82 is preferably set in accordance with the setting of the rotation speed for rotating the tire 4. In this case, the influence coefficient data 82 to be used is switched according to the test conditions. The arithmetic processing unit 72 executes various processes using the programs and data stored in the storage unit 70.

Next, an example of a signal processing method for tire vibration characteristics using a measuring device will be described with reference to FIGS. 4 to 6. FIG. 4 is a flowchart showing an example of a signal processing method for detecting the vibration characteristics of a tire using a measuring device. The signal processing method is a process executed to measure the vibration characteristics of the tire. Specifically, it is a method of detecting the characteristics of the place where the measuring device is installed with respect to vibration, adjusting the measurement conditions, and then measuring the characteristics of the tire.

In the signal processing method, the measuring device 10 is installed at a predetermined position (step S10). Specifically, the device main body 12 of the measuring device 10 is installed on the installation surface 2.

Next, in the signal processing method, the accelerometer 30 acquires natural vibration data for a predetermined time (step S20). Specifically, the measurement with the accelerometer 30 is executed with the motor 22 of the apparatus main body 12 stopped. As a result, the accelerometer 30 detects the vibration 90 input to the device main body 12 from the installation surface 2. Examples of the predetermined time include a one-day operating period of a facility in which the measuring device 10 is installed and one week. Further, a situation in which vibration is input to the installation surface 2 of the measuring device 10, for example, a situation in which a transport vehicle travels around the measuring device 10 may be reproduced, and a predetermined time may be set between them. In the signal processing method, the control unit 14 analyzes the result measured by the accelerometer 30, and acquires the natural vibration data input to the apparatus main body 12. Here, the natural vibration input to the device main body 12 becomes the vibration input to the tire via the device main body 12. That is, it becomes the vibration of the disturbance input to each part of the apparatus main body 12 and the tire at the time of measurement.

Next, the signal processing method determines the shift amount of the rotation speed (step S30). In the signal processing method, the rotation speed for rotating the tire 4 is determined using the natural vibration data acquired in step S20. In the present embodiment, a reference rotation speed is set, and an amount to be increased or decreased from the rotation speed is determined as a shift amount. The shift amount is, for example, the amount of movement with respect to the currently set rotation speed and frequency based on the calculation based on the natural vibration data when converted by the tire rotation speed and frequency at the time of measurement by the measuring device 10. be. Specifically, the rotation speed at which the imbalance of the tire 4 can be measured is calculated in a wavelength range that does not overlap with the vibration of the motor 22 generated by the vibration 90 detected in a predetermined time. The vibrations extracted from the natural vibration data and subject to the judgment of the shift amount of the rotation speed do not have to be all the generated vibrations, and the vibrations that have an influence exceeding the standard or the dominant vibrations that occur in a predetermined time. Should be targeted. Here, the rotation speed is adjusted within a range of the rotation speed at which centrifugal force acts on the tire 4 and the usable rotation speed of the motor 22 of the measuring device 10. The shift amount may be any amount, but for example, when converted into the tire rotation speed and frequency at the time of measurement by the measuring device 10, 20% from the frequency extracted as the peak of the disturbance detected in the natural vibration data. Is exemplified.

Next, the signal processing method determines a predetermined rotation speed based on the shift amount (step S40). Specifically, the rotation speed for rotating the tire is determined based on the reference rotation speed and the shift amount.

Next, in the signal processing method, tires are applied and vibration characteristic measurement processing is executed (step S50). That is, the test of the tire 4 is executed based on the rotation speed determined up to step S40, and the dynamic balance of the tire 4, that is, whether or not the tire is unbalanced is measured. An example of the process of step S50 will be described with reference to FIG. FIG. 5 is a flowchart showing an example of the measurement process.

As shown in FIG. 5, in the signal processing method, the load is measured while rotating the tire at a predetermined rotation speed (step S51). In the signal processing method, the tire 4 is mounted on the tire support portion 26, and the tire 4 is rotated at a set predetermined rotation speed. Further, the load sensor unit 28 detects the load while rotating at a predetermined rotation speed.

Next, in the signal processing method, a waveform in a predetermined frequency band is extracted by filter processing (step S53). The signal detected by the load center unit 28 is filtered by the vector filter 80, and a waveform having a set predetermined frequency is extracted. That is, the signal of the frequency band corresponding to the predetermined rotation speed is extracted.

Next, the signal processing method specifies the vibration characteristics based on the amplitude and phase of the extracted waveform (step S55). In the signal processing method, processing is executed using the waveform extracted in step S53 and the influence coefficient data, and the vibration characteristic of the tire 4 is specified based on the amplitude of the extracted waveform. The signal processing method can detect non-uniformity and imbalance in the rotation direction of the tire 4 by specifying the vibration characteristics of the tire 4 at a predetermined rotation.

In the signal processing method, the component of the vibration 90 is extracted by the accelerometer 30, and the rotation speed of the tire 4 at the time of the test is determined based on the extraction result, thereby suppressing the influence of the component of the vibration 90 and the tire. Vibration characteristics can be detected. FIG. 6 is a graph showing an example of the detection result. In FIG. 6, the horizontal axis is the frequency and the vertical axis is the acceleration (magnitude of vibration). FIG. 6 shows the measurement result of the vibration measured by the accelerometer while the apparatus main body 12 is stopped. For example, as shown in FIG. 6, when vibration is detected at the frequency Q1 and the rotation speed corresponding to the frequency Q1 is the basic rotation speed of the measuring device 10, the rotation speed corresponding to the frequency Q2 is set to the tire. The rotation speed is shifted so as to be the rotation speed at the time of the test of 4. As a result, when detecting the vibration characteristics of the tire, it is possible to suppress the detection of characteristics different from the actual vibration characteristics of the tire due to the influence of the vibration input to the installation surface 2, and the tire characteristics are measured with higher accuracy. be able to.

Further, the measuring device 10 uses a structure that suppresses the influence of external vibration on the installation surface 2 on which the device main body 12 is installed by controlling the tire rotation speed, that is, the test conditions based on the natural vibration data. There is no need for it, and the device configuration can be simplified. As a result, the installation position of the measuring device 10 can be moved more easily. Specifically, vibration insulation treatment that prevents vibration 90 from being input to the device body 12 on the installation surface 2, for example, a foundation is created with concrete or the like at the installation position of the device body 12, and the periphery of the foundation. The influence of vibration 90 can be reduced without using a structure in which a rubber (cushioning material) that insulates vibration is installed around the concrete.

In addition, the signal processing method measures the natural vibration and determines the rotation speed based on the measurement result, thereby reducing the influence of the vibration 90 without performing analysis based on the cause of the vibration or conditions. can do.

Further, in the present embodiment, by performing a process using a vector filter as the filter process, it is possible to suitably extract the characteristics at the rotation speed to be tested while removing the component corresponding to the vibration 90. Not limited to this. For example, a tracking filter may be used as the filter. By using the tracking filter, it is possible to measure the vibration characteristics while the rotation speed is fluctuating. In this case, the time zone during rotation in the region corresponding to the frequency determined to cause disturbance such as vibration 90 is excluded from the extraction target. As the signal processing method, the data of the rotation number region to be excluded specified from the natural vibration data may be removed.

In the embodiment shown in FIGS. 4 to 6, the vibration 90 input to the installation surface 4 is measured by the accelerometer 30 after the measuring device 10 is installed, but the present invention is not limited to this. As a signal processing method, only the accelerometer 30 may be installed at a position that is a candidate for installing the measuring device 10, and the unique Shindo data may be acquired. That is, the order of the process of step S20 and the process of step S10 may be reversed, and the process of step S20 may be performed at a plurality of places. Further, by executing the processes of steps S10 to S40 at the time of installation, the processes of step S50 can be repeated.

Here, FIGS. 2 and 3 show a state in which the accelerometer 30 is arranged in the vicinity of the device main body 12, but the accelerometer 30 is installed before the device main body 12 is installed to acquire natural vibration data. Then, the accelerometer 30 may be removed after the data is acquired. As a result, the accelerometer 30 can be shared by the plurality of measuring devices 10.

Here, in the signal processing method, it is preferable to switch the vector filter and the influence coefficient data to be used based on the number of rotations at which the tire is rotated. FIG. 7 is a flowchart showing another example of signal processing.

As shown in FIG. 7, the signal processing method measures the load while rotating the tire at a predetermined rotation speed (step S51). In the signal processing method, the tire 4 is mounted on the tire support portion 26, and the tire 4 is rotated at a set predetermined rotation speed. Further, the load sensor unit 28 detects the load while rotating at a predetermined rotation speed.

Next, the signal processing method selects the corresponding vector filter and influence coefficient data based on the predetermined rotation speed (step S52). That is, it is selected as the vector filter and the influence coefficient data that use the vector filter and the influence coefficient data set for the predetermined number of rotations in which the tire is rotated.

Next, in the signal processing method, a waveform in a predetermined frequency band is extracted by filter processing (step S53). The signal detected by the load center unit 28 is filtered by the vector filter 80, and a waveform having a set predetermined frequency is extracted. That is, the signal of the frequency band corresponding to the predetermined rotation speed is extracted.

Next, the signal processing method specifies the vibration characteristics based on the amplitude and phase of the extracted waveform (step S55). In the signal processing method, processing is executed using the waveform extracted in step S53 and the influence coefficient data, and the vibration characteristic of the tire 4 is specified based on the amplitude of the extracted waveform. The signal processing method can detect non-uniformity and imbalance in the rotation direction of the tire 4 by specifying the vibration characteristics of the tire 4 at a predetermined rotation.

As shown in FIG. 7, the signal processing method includes processing conditions, a plurality of vector filters and business condition coefficient data in the present embodiment, corresponding to the number of rotations for rotating the tire, and is used based on the measured conditions. By switching the conditions, the characteristics of the tire 4 can be detected with high accuracy while further reducing the influence of disturbance, that is, vibration 90.

Here, in the above embodiment, the vibration 90 is detected by using the accelerometer 30, but the vibration 90 is not limited to this, and various methods can be used as a method for detecting the disturbance including the vibration 90. FIG. 8 is a block diagram schematically showing the configuration of each part of the measuring device of another example. The measuring device 10 shown in FIG. 1 uses an accelerometer 30, but is not limited thereto. The measuring device 10a shown in FIG. 8 has the same configuration as the measuring device 10 except that the accelerometer 30 is not provided. The measuring device 10a includes a device main body 12 and a control unit 14. The apparatus main body 12 includes a motor 22 and a load sensor unit 28. The apparatus main body 12 also includes a frame 20, a rotating shaft 24, and a tire support portion 26. The control unit 14 includes a storage unit 70 including a vector filter 80, an influence coefficient data 82, and an arithmetic processing unit 72. The measuring device 10a detects the vibration 90 input due to the disturbance by using the measurement result of the load sensor unit 28.

Next, an example of a signal processing method for detecting the vibration characteristics of the tire using the measuring device 10a will be described with reference to FIGS. 9 to 11. FIG. 9 is a flowchart showing an example of a signal processing method for detecting the vibration characteristics of the tire using the measuring device shown in FIG. In the signal processing method, the measuring device 10 is installed at a predetermined position (step S10). Specifically, the device main body 12 of the measuring device 10 is installed on the installation surface 2.

Next, in the signal processing method, the load sensor unit 28 acquires natural vibration data for a predetermined time (step S20). Specifically, the measurement is executed in the upper load cell 56 and the lower load cell 58 of the load sensor unit 28 with the motor 22 of the apparatus main body 12 stopped. As a result, the load sensor unit 28 detects the vibration 90 input to the device main body 12 from the installation surface 2. FIG. 10 is a graph showing an example of the detection result. In FIG. 10, the horizontal axis is time and the vertical axis is the load detected in each load cell. Graph 102 is a measurement result of the upper load cell 56. Graph 104 is a measurement result of the lower load cell 58. Further, as the predetermined time, a one-day operating period of the facility in which the measuring device 10 is installed and one week are exemplified. Further, a situation in which vibration is input to the installation surface 2 of the measuring device 10, for example, a situation in which a transport vehicle travels around the measuring device 10 may be reproduced, and a predetermined time may be set between them. In the signal processing method, the control unit 14 analyzes the result measured by the load sensor unit 28, and acquires the natural vibration data input to the device main body 12.

Next, the signal processing method determines the shift amount of the rotation speed (step S30). In the signal processing method, the rotation speed for rotating the tire 4 is determined using the natural vibration data acquired in step S20. The process of step S30 is the same as the process of FIG.

Next, the signal processing method determines a predetermined rotation speed based on the shift amount (step S40). Specifically, the rotation speed for rotating the tire is determined based on the reference rotation speed and the shift amount.

Next, in the signal processing method, tires are applied and vibration characteristic measurement processing is executed (step S50). That is, the test of the tire 4 is executed based on the rotation speed determined up to step S40, and the imbalance of the tire 4 is measured. An example of the process of step S50 will be described with reference to FIG. FIG. 11 is a flowchart showing an example of the measurement process.

As shown in FIG. 11, the signal processing method measures the load while rotating the tire at a predetermined rotation speed (step S51). In the signal processing method, the tire 4 is mounted on the tire support portion 26, and the tire 4 is rotated at a set predetermined rotation speed. Further, the load sensor unit 28 detects the load while rotating at a predetermined rotation speed.

Next, the signal processing method extracts the load waveform by FFT (step S52). Next, in the signal processing method, a waveform in a predetermined frequency band is extracted by filter processing (step S53). The signal detected by the load center unit 28 is filtered by the vector filter 80, and a waveform having a set predetermined frequency is extracted. That is, the signal of the frequency band corresponding to the predetermined rotation speed is extracted.

Next, the signal processing method specifies the vibration characteristics based on the amplitude of the extracted waveform (step S55). In the signal processing method, processing is executed using the waveform extracted in step S53 and the influence coefficient data, and the vibration characteristic of the tire 4 is specified based on the amplitude of the extracted waveform. The signal processing method can detect non-uniformity and imbalance in the rotation direction of the tire 4 by specifying the vibration characteristics of the tire 4 at a predetermined rotation.

Further, in the above embodiment, the process of adjusting the rotation speed is executed when the measuring device is installed, but the present invention is not limited to this. The signal processing method may execute the processing while measuring the vibration characteristics of the tire. FIG. 12 is a flowchart showing another example of a signal processing method for tire vibration characteristics using a measuring device. Although the process of FIG. 12 is the process of the load sensor unit 28, the accelerometer 30 may be used.

In the signal processing method, the load sensor unit 28 acquires the natural vibration data before the next tire is applied (step S20). Specifically, the measurement is executed by the load sensor unit 28 in a state where the motor 22 of the apparatus main body 12 in the state where the tire is not attached is stopped. Further, it is a time during which the tire attachment / detachment operation is not executed until the next tire is applied. As a result, the load sensor unit 28 detects the vibration 90 input to the device main body 12 from the installation surface 2. In the signal processing method, the control unit 14 analyzes the result measured by the load sensor unit 28, and acquires the natural vibration data input to the device main body 12.

Next, the signal processing method determines the shift amount of the rotation speed (step S30). In the signal processing method, the rotation speed for rotating the tire 4 is determined using the natural vibration data acquired in step S20. In the present embodiment, a reference rotation speed is set, and an amount to be increased or decreased from the rotation speed is determined as a shift amount. Specifically, the rotation speed at which the imbalance of the tire 4 can be measured is calculated in a wavelength range that does not overlap with the vibration of the motor 22 generated by the vibration 90 detected in a predetermined time. The vibrations extracted from the natural vibration data and subject to the judgment of the shift amount of the rotation speed do not have to be all the generated vibrations, and the vibrations that have an influence exceeding the standard or the dominant vibrations that occur in a predetermined time. Should be targeted.

Next, the signal processing method determines a predetermined rotation speed based on the shift amount (step S40). Specifically, the rotation speed for rotating the tire is determined based on the reference rotation speed and the shift amount.

Next, in the signal processing method, tires are applied and vibration characteristic measurement processing is executed (step S50). That is, in the signal processing method, the test of the tire 4 is executed based on the rotation speed determined up to step S40, and the imbalance of the tire 4 is measured. Further, in the signal processing method, signal processing conditions are set based on the rotation speed determined in step S40.

In the signal processing method, by acquiring natural vibration data and adjusting the rotation speed during the measurement of the vibration characteristics of the tire, it is possible to remove the component corresponding to the vibration generated before the measurement of the tire.

The signal processing method of the present disclosure is a signal processing method for rotating a rotating body to acquire vibration characteristics of the rotating body, and obtains natural vibration data of disturbance vibration other than vibration caused by the rotation of the rotating body by a sensor. The step S10 to be acquired and the step S30 to determine the shift amount of the rotation speed of the rotating body with respect to the natural vibration data based on the natural vibration data of the disturbance vibration are provided. With this configuration, it is possible to determine the shift amount for shifting the rotation speed of the rotating body in the measuring device with respect to the natural vibration data of the disturbance vibration acquired by the sensor. As a result, if the rotating body is rotated by the determined shift amount, it is possible to avoid the characteristic frequency of the natural vibration data of the disturbance vibration. As a result, the influence of disturbance vibration can be suppressed when acquiring the vibration characteristics of the rotating body. Therefore, according to the present invention, it is possible to measure the vibration characteristics of a rotating body that can easily and inexpensively cope with layout changes and a plurality of disturbance vibrations.

The signal processing method of the present disclosure includes step S40 for determining a predetermined number of rotations to rotate the rotating body based on the shift amount, and the load sensor for rotating the rotating body at the predetermined number of rotations and measuring the load acting on the measuring device. A step S51 and a step S55 of extracting a frequency band of a predetermined rotation speed from the measured load waveform by a predetermined filter process and specifying the vibration characteristics of the rotating body based on the amplitude of the extracted waveform are further provided. .. With this configuration, the frequency band of the predetermined rotation speed is extracted by filtering the load acting on the measuring device when the rotating body is rotated at the predetermined rotation speed determined based on the shift amount, which is unnecessary. It is possible to eliminate the vibration waveform of the frequency band and accurately identify the vibration characteristics of the rotating body.

In the signal processing method of the present disclosure, the shift amount is determined so that the step S30 of determining the shift amount avoids the frequency that becomes the peak value of the amplitude of the natural vibration data by the rotation speed of the rotating body. With this configuration, the shift amount with respect to the natural vibration data can be appropriately determined, and the rotation speed of the rotating body can be appropriately avoided from the natural vibration data.

Further, in steps S20, S22, and S24 of acquiring the natural vibration data of the disturbance vibration, a database in which the natural vibration data is acquired and accumulated by the sensor in a state where the measuring device is placed in a predetermined place without attaching a rotating body is stored. The step of creating and determining the shift amount determines the shift amount based on the database of natural vibration data. With this configuration, the shift amount can be appropriately determined by using the database of the natural vibration data acquired in advance.

In addition, the database of natural vibration data is acquired in advance over a predetermined time. With this configuration, the accuracy of the database can be improved by adjusting the predetermined time.

The predetermined time is the time from the completion of the measurement of one rotating body by the measuring device to the addition of the next rotating body to the measuring device. With this configuration, the measurement of the rotating body and the acquisition of the natural vibration data can be performed almost at the same time, and the natural vibration data can be updated as appropriate to enable more accurate measurement.

Further, the database of natural vibration data is constantly updated, and the step of determining the shift amount determines the shift amount to the corresponding value based on the database of the constantly updated natural vibration data. With this configuration, it is possible to perform measurement with higher accuracy by constantly updating the natural vibration data.

Further, in the step of determining the shift amount, the shift amount is determined based on the database in which the natural vibration data is accumulated and the specifications of the rotating body. With this configuration, if a database of natural vibration data is sufficiently accumulated, the shift amount can be automatically determined according to the specifications of the rotating body, and the real-time calculation load can be reduced.

The measuring device consists of a device body that rotates the rotating body at a predetermined rotation speed, a sensor that acquires natural vibration data of disturbance vibration other than vibration caused by the rotation of the rotating body acting on the device body, and a device that uses the rotation of the rotating body. It is equipped with a load sensor that acquires the load acting on the main body and a control unit that calculates the vibration characteristics of the rotating body based on the natural vibration data and the load, and the control unit is based on the natural vibration data of disturbance vibration. The rotating body is rotated at a predetermined rotation speed to which a shift amount is given to the determined natural vibration data, the load acting on the device main body is measured by the load sensor, and the frequency band of the predetermined rotation speed is determined from the waveform of the measured load. The vibration characteristics of the rotating body are specified based on the amplitude of the extracted waveform.

With this configuration, it is possible to determine the shift amount for shifting the rotation speed of the rotating body in the measuring device with respect to the natural vibration data of the disturbance vibration acquired by the sensor. As a result, if the rotating body is rotated by the determined shift amount, it is possible to avoid the characteristic frequency of the natural vibration data of the disturbance vibration. As a result, the influence of disturbance vibration can be suppressed when acquiring the vibration characteristics of the rotating body. Then, for the load acting on the measuring device when the rotating body is rotated at the predetermined rotation speed determined based on the shift amount, the frequency band of the predetermined rotation speed is extracted by the filtering process, so that an unnecessary frequency band is used. It is possible to accurately identify the vibration characteristics of the rotating body by eliminating the vibration waveform of. Therefore, according to the present invention, it is possible to measure the vibration characteristics of a rotating body that can easily and inexpensively cope with layout changes and a plurality of disturbance vibrations.

Further, the control unit 16 stores a plurality of filters used for a predetermined filter process corresponding to a plurality of predetermined rotation speeds. With this configuration, even if a plurality of disturbance vibrations that differ depending on the time zone are generated, after selecting an appropriate filter for the predetermined rotation speed determined according to the disturbance vibration at that time, the rotating body Vibration characteristics can be measured.

The sensor is an acceleration sensor provided in the measuring device. With this configuration, the natural vibration data of disturbance vibration can be acquired with high accuracy. The sensor is a load sensor. With this configuration, it is possible to acquire natural vibration data of disturbance vibration using an existing load sensor without separately providing a sensor.

2 Installation surface 4 Tire (rotating body)
10, 10a Measuring device 12 Device body 14 Control unit 20 Frame 22 Motor 24 Rotation shaft 25 Rotation detection sensor 26 Tire support 28 Load sensor unit 30 Accelerometer (sensor)
40 Base 42 Vertical frame 44 Round bar 46, 49 Connecting part,
47 Horizontal frame 48 Leaf spring 50 Base 52, 54 Arm
56 Upper load cell 58 Lower load cell 70 Storage unit 72 Arithmetic processing unit 80 Vector filter 82 Impact coefficient

Claims (13)

It is a signal processing method for acquiring the vibration characteristics of the rotating body by rotating the rotating body.
The step of acquiring the natural vibration data of the disturbance vibration other than the vibration caused by the rotation of the rotating body by the sensor, and
Based on the natural vibration data of the disturbance vibration, a step of determining the shift amount of the rotation speed of the rotating body with respect to the natural vibration data, and
A signal processing method comprising. A step of determining a predetermined number of rotations to rotate the rotating body based on the shift amount, and
A step of rotating the rotating body at the predetermined number of rotations and measuring the load acting on the measuring device supporting the rotating body with a load sensor.
A step of extracting a frequency band of the predetermined rotation speed from the measured waveform of the load by a predetermined filtering process and specifying the vibration characteristics of the rotating body based on the amplitude of the extracted waveform.
The signal processing method according to claim 1, further comprising. The step of determining the shift amount is according to claim 1 or 2, wherein the shift amount is determined so that the rotation speed of the rotating body avoids the frequency that becomes the peak value of the amplitude of the natural vibration data. Signal processing method. In the step of acquiring the natural vibration data of the disturbance vibration, the natural vibration data is acquired by the sensor in a state where the rotating body is placed at a predetermined position without being attached to the measuring device supporting the rotating body. Create the accumulated database and
The step of determining the shift amount determines the shift amount based on the database of the natural vibration data.
The signal processing method according to any one of claims 1 to 3. The signal processing method according to claim 4, wherein the database of the natural vibration data is acquired in advance over a predetermined time. The signal processing method according to claim 5, wherein the predetermined time is a time from when the measurement of one rotating body is completed by the measuring device to when the next rotating body is applied to the measuring device. The database of the natural vibration data is constantly updated.
The signal processing method according to claim 4, wherein the step of determining the shift amount is to determine the shift amount to a corresponding value based on the database of the natural vibration data that is constantly updated. The signal processing method according to claim 4, wherein the step of determining the shift amount is to determine the shift amount based on the database in which the natural vibration data is accumulated and the specifications of the rotating body. The main body of the device that rotates the rotating body at a predetermined rotation speed,
A sensor that acquires natural vibration data of disturbance vibrations other than vibrations caused by the rotation of the rotating body acting on the main body of the device, and
A load sensor that acquires the load acting on the device body due to the rotation of the rotating body, and
A control unit that calculates the vibration characteristics of the rotating body based on the natural vibration data and the load.
With
The control unit
The rotating body is rotated at the predetermined rotation speed to which a shift amount with respect to the natural vibration data determined based on the natural vibration data of the disturbance vibration is given.
The load acting on the device body is measured by the load sensor, and the load is measured.
A measuring device that extracts a frequency band of the predetermined rotation speed from the measured waveform of the load by a predetermined filter process and identifies the vibration characteristics of the rotating body based on the amplitude of the extracted waveform. The measuring device according to claim 9, wherein the control unit stores a plurality of filters used for the predetermined filter processing corresponding to a plurality of predetermined rotation speeds. The measuring device according to claim 9 or 10, wherein the sensor is an acceleration sensor provided in the measuring device. The measuring device according to claim 9 or 10, wherein the sensor is the load sensor. In order to rotate the rotating body and acquire the vibration characteristics of the rotating body,
The step of acquiring the natural vibration data of the disturbance vibration other than the vibration caused by the rotation of the rotating body by the sensor, and
Based on the natural vibration data of the disturbance vibration, a step of determining the shift amount of the rotation speed of the rotating body with respect to the natural vibration data, and
A signal processing program that executes.

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