KR102186563B1 - Motor condition prediction system - Google Patents

Abstract

The present invention relates to a motor condition prediction system and, specifically, relates to a motor condition prediction system which uses current and voltage values measured through a measurement unit provided in an MCC panel to accurately diagnose and intuitively check the defects of the motor installed in each facility, the defects of the load devices, or the transmitted electric energy. According to the present invention, the motor condition prediction system includes: a measuring unit which measures current and voltage values supplied to the motor; a conversion unit which derives the waveform of the current value and the voltage value, and converts the waveform into frequency data which is a value in a frequency domain; and a processing unit including a comparison part for comparing frequency data with preset reference data, a storage part which stores a threshold value of deviation judged as a defect, and a judgment part which determines as a defect when the deviation between the frequency data and the reference data exceeds the threshold value.

Description

Motor condition prediction system {MOTOR CONDITION PREDICTION SYSTEM}

The present invention relates to a motor condition prediction system, and uses current and voltage values measured through a measurement unit provided in an MCC panel to accurately detect defects in motors installed in each facility, defects in load devices, or defects in transmitted electrical energy. It relates to a motor condition prediction system that can be diagnosed and intuitively checked.

In general, in industrial sites, motors, especially three-phase induction motors, are used as a power source for machines, and in the event of a breakdown, it has caused considerable opportunity loss due to the interruption of production of the machine. Such motor failures occur due to stator failures such as bearing failure, insulation failure, rotor failure, and mechanical failure. For such a cause of failure, the condition of the motor has been monitored in real time and the failure has been diagnosed, and a method of diagnosing the failure has been developed and implemented in various ways.

As an example of a motor fault diagnosis system, a system for diagnosing an abnormality (defect) of a motor as vibration generated from a motor detects and diagnoses vibration signals other than inherent vibrations as electrical signals. However, this diagnostic method has a problem in that the detected signal (data) is inaccurate due to measurement deviation of the vibration detection device, and the equipment is complicated as the vibration detection device is used. In addition, since it is not real-time data in the field, there is a problem of passively coping with and stopping an abnormal situation in the motor.

As a prior art related to a motor diagnosis system using such a vibration analysis method, there is Korean Patent Laid-Open No. 10-2009-0088127, etc. In the case of a vibration analysis method when maintaining/repairing a motor or load device, the motor or load device The inconvenience of removing/reinstalling the installed sensing device for vibration analysis is involved. In addition, the vibration sensing device is affected by the noise of the industrial site or the location of the motor in the field. There is a problem that an accurate diagnosis cannot be made.

Therefore, a motor condition prediction system capable of accurately diagnosing the condition of the motor and systematically managing the condition is very urgent.

The present invention was conceived to solve the above problem, measuring the voltage/current supplied to the motor or emitted from the motor, and spectralizing the waveform data calculated based on this, to accurately detect defects in the motor, load device, and energy state. The purpose of this is to provide a motor condition prediction system that can be diagnosed intuitively.

Another object of the present invention is to provide a motor condition prediction system that performs fault diagnosis with improved convenience, speed and accuracy by subdividing faults of each device by presenting a unique algorithm for fault diagnosis.

In addition, the present invention transmits the fault information of the motor, the load facility and the energy state, and the information divided into normal phase, caution phase, serious phase, and failure phase, to the terminal UI and the control station UI, and each motor and load The purpose is to provide a motor condition prediction system that increases the usefulness of management by listing and displaying detailed information on facilities, etc.

In addition, the present invention subdivides items that require periodic management of motors, load facilities, and energy defects to respond to management items through periodic notification of items that need to be managed, issuance of reports according to input of inspection results, and re-notification. The purpose of this is to provide a motor condition prediction system that can automatically manage configurations.

The motor condition prediction system according to the present invention for the purpose of solving the above problems is a measuring unit for measuring a current value and a voltage value supplied to the motor, and a waveform of the current value and the voltage value, and this is A conversion unit that converts frequency data as a value, a comparison part that compares the frequency data with preset reference data, a storage part that stores a threshold value of a deviation determined as a defect, and a deviation between the frequency data and the reference data is the threshold value If exceeded, it includes a processing unit including a determination part that determines as a defect.

In addition, the measuring unit is provided inside the MCC panel or at a position adjacent to the MCC panel, is electrically connected to the MCC panel, and includes a power control part for raising and lowering the current and voltage of the RST 3 phase supplied to the motor.

In addition, as a defect of the motor, at least one of a stator defect, a soft foot defect, a static/dynamic eccentricity, a bearing defect, a rotor defect, and a shaft alignment defect is diagnosed.

In addition, as a defect of the load device linked to the motor, at least one of a bearing defect, a reducer defect, a belt pulley defect, an air compressor defect, a fan defect, and a pump defect is diagnosed.

The present invention having the above configuration, steps, and features is installed by installing a measuring unit for measuring current and voltage in an easily accessible MCC panel without the need to install a detection device directly on the motor located on the site, unlike the vibration analysis method. It has the advantage that it is possible to install/dismantle the measurement unit without shutting down the power of the motor during work, so it has the advantage of enabling continuous production of various facilities, and further increases the amount of data collected and improves the accuracy of the algorithm to diagnose the motor. It has the effect of improving the reliability of the product.

In addition, unlike the conventional vibration analysis method, the result value of the sensing device was affected by the noise at the industrial site or the position installed on the motor at the site, so it was not possible to make an accurate diagnosis of the motor defect, but in the case of the present invention, the measured By analyzing the waveforms of current and voltage data, it has the advantage of performing accurate fault diagnosis since the result value is not affected by noise in industrial sites.

In addition, it has the advantage of being able to accurately diagnose defects by classifying defects in detailed components of each device, such as motor stator, rotor, and shaft alignment through unique algorithm analysis.

In addition, diagnostic information on subdivided defects is transmitted to the terminal or control center UI, and by including a UI that lists and graphs diagnostic information based on this, not only experts but also all users can intuitively diagnose the state of the motor. In addition, it has the advantage of being able to automatically perform periodic management through a facility management solution.

1 is a schematic view of the entire system according to the present invention.
2 to 3 are diagrams showing the flow of the system according to the present invention in time series.
4 to 5 are diagrams showing types of defects that can be diagnosed with the system according to the present invention.
6 is a diagram illustrating an embodiment of a user UI.

The present invention will be described in detail in the text of the bar, implementation (態樣, aspect) (or embodiment) that can apply various changes and can have various forms. However, this is not intended to limit the present invention to a specific form of disclosure, and it should be understood that all changes, equivalents, and substitutes included in the spirit and scope of the present invention are included.

The terms used in the present specification are only used to describe specific embodiments (sun, 態樣, aspect) (or examples), and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as ~include~ or ~consist~ are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, but one or more other features It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance the possibility of being added.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

The ~1~, ~2~, etc. described in the present specification will only be referred to to distinguish different constituent elements, and are not limited to the order of manufacture, and the names in the detailed description and claims of the invention It may not match.

As shown in FIG. 1, the motor condition prediction system (this system) according to the present invention includes a measuring unit 10 that measures a current value and a voltage value supplied to a motor, and a waveform of the current value and the voltage value. A conversion unit 20 that derives and converts it to frequency data that is a value of the frequency domain, a comparison part that compares the frequency data with preset reference data, a storage part that stores a threshold value of a deviation determined as a defect, and the frequency data And a processing unit 30 including a determination part that determines as a defect when a deviation between the reference data and the reference data exceeds the threshold value.

Using the current and voltage values measured through the measurement unit 10 provided in the MCC panel, it is possible to accurately diagnose and intuitively check the defect of the motor installed in each facility, the defect of the load device, or the transmitted electric energy. It relates to a motor condition prediction system.

As can be seen with reference to Figs. 2 to 3, when an abnormality occurs in the motor and the load device, a defect waveform having a specific period is generated, which can be collected (measured) through vibration and electrical signals, which can be FFT Analysis can be performed to find the fault frequency. In other words, a defect in the motor or load device causes a change in the voltage/current driving the motor, and the fault frequency components are added to the power frequency to generate complex harmonics, which are analyzed by FFT and separated into power frequency and fault frequency. After that, it is possible to predict defects in motors and load devices by comparing them with reference data.

When introducing specific embodiments of the present invention for each configuration with reference to FIGS. 1 to 5, first, the measurement unit 10 is provided inside the MCC panel or at a position adjacent to the MCC panel, is electrically connected to the MCC panel, and is connected to the motor. It includes a power control part that raises and lowers the current and voltage of the 3 phases of the RST supplied.

Here, the adjacent location is a location that can measure the current and voltage of the 3 phases of the RST supplied to the motor by being electrically connected to the MCC panel. It is attached to a location in the housing of the MCC panel, and is provided at a specific location separated from the MCC panel. It may include all electrically connected ones.

As shown in FIG. 3, first, the measurement unit 10 measures a current value and a voltage value supplied to the motor. In addition, the measurement unit 10 further includes a power control part that raises and lowers the current and voltage of the RST 3 phase, and changes the current and voltage of an appropriate value in order to measure the high current and high voltage flowing in the power system through the power control part. The current value and voltage value supplied to the motor are measured. For example, a large current is converted into a small current or a high voltage is converted into a low voltage, making it possible to measure current and voltage values.

As a specific embodiment of the measurement unit 10, the current and voltage of the RST 3 phase may be measured through an instrument current transformer (CT) and a potential transformer (PT).

In addition, since the present invention can detect defects such as a motor by measuring abnormal waveforms of current and voltage flowing into the motor, a data processing device including a measurement unit 10 is installed in an MCC panel located in an electrical room, etc. Device defects and energy defects can be identified.

Therefore, unlike the method of diagnosing motor defects through the analysis of vibration generated by the conventional motor, it is not installed directly on the field motor, but is installed in an accessible MCC panel and control panel, so installation is simple and installation time is significantly reduced. Can be reduced.

In addition, in the case of the prior art (vibration analysis method), since the device for vibration analysis must be installed directly on the motor in the field, the power of the motor must be cut off during the installation work. However, in the present invention, since the data processing device including the measurement unit 10 is installed in the MCC panel, it has an advantage that it can be installed/disassembled without interrupting the power of the motor to be checked for defects. This ultimately makes it possible for various facilities to be continuously produced.

In addition, in the case of the conventional technology (vibration analysis method), even during maintenance/repair of a motor or load device, inconvenience of having to remove/reinstall a sensing device for vibration analysis installed in the motor or load device is accompanied, whereas the present invention There is an advantage that no separate measures are required because there is no sensing device separately installed in the load device.

In addition, in the case of the prior art (vibration analysis method), there is a problem in that the result value of the sensing device is affected by the noise at the industrial site or the location of the motor at the site, so that an accurate diagnosis of the motor defect cannot be made. In the case of the present invention, since a fault in a motor, a load device, and electric energy is confirmed by measuring the current value and the voltage value and analyzing the frequency data, there is an advantage that the result value is not affected.

Next, the system further includes a conversion unit 20 that derives the waveform of the current value and the voltage value, and converts the waveform into frequency data that is a value in the frequency domain. This is to convert a waveform in the time domain into data in the frequency domain for comparison between a normal waveform and a faulty waveform.

FFT (Fast Fourier transform) may be typically used as a method of transforming the frequency data, but it is not necessarily limited thereto, and various transformation techniques may be used, and specific details are known in the art or general knowledge of a person skilled in the art. You can follow.

In this way, the frequency data obtained through the conversion unit 20 can be compared with preset reference data to be described later to find defects in the motor. Specifically, the vector sum of the derived waveform data is demodulated. After that, FFT is performed to spectralize the transformed frequencies, and defects can be identified through algorithm analysis. Also, up to 128 such frequency data can be obtained per 1Hz, and the motor rotation speed is also measured at 1/128 second intervals.

Next, the system includes a comparison part that compares the frequency data with preset reference data, a storage part that stores a threshold value of a deviation determined as a defect, and a deviation between the frequency data and the reference data exceeds the threshold value. In the case of the case, it further includes a processing unit 30 including a determination part that is determined to be a defect.

The above-described conversion unit 20 and the processing unit 30 perform their functions within a data processing device, and the data processing device refers to a processor for controlling a system such as a CPU or an MPU. In addition, since the function of the conversion unit 20 has been described above, the processing unit 30 will be described in detail.

As described above, the processing unit 30 largely includes a comparison part, a storage part, and a determination part, and first, the comparison part corresponds to a configuration that compares the frequency data with preset reference data. The reference data corresponds to the frequency data when the motor or the like operates normally.) Each frequency of the calculated frequency data is compared with the frequency threshold value of the preset reference data. In addition, in order to diagnose each defect in detail, the frequency threshold has a threshold corresponding to each component. For example, the threshold value used as a reference for determining the stator defect is the stator threshold value, the threshold value used as the reference for determining the rotor defect is the rotor threshold value, and thus the threshold value is used to determine the above defects. There is a threshold value corresponding to each of the hazards.

In addition, the comparison of the comparison part may be performed by implementing a logic circuit for comparison with threshold values for determining each defect, and when the calculated frequency data value exceeds the range of the threshold values, the determination part It is judged as a defect by.

The reference data and the threshold value are stored in the storage part, so that comparison is performed through the comparison part, and the reference data and the threshold value are any hardware capable of performing a storage function, such as a memory device. It's okay.

In addition, the frequency data, which has been compared by the comparison part, can be divided into normal frequency data and defective frequency data. If the frequency deviation compared with the preset reference data does not exceed a threshold value, the normal frequency data It corresponds, and if it exceeds the threshold value of the deviation, it corresponds to the defect frequency data.

Further, the determination part is determined to be a defect when a deviation between the frequency data and the reference data exceeds the threshold value. For example, when it is detected that the frequency of the calculated frequency data exceeds the stator threshold value by the comparison part, it is determined as a stator defect. In the above, the threshold value may be determined according to the choice of the practitioner.

As a specific embodiment of the present system including the measurement unit 10, the conversion unit 20, and the processing unit 30, the system is a defect of the motor, as shown in Figs. At least one of faults, soft foot faults, static/dynamic eccentricity, bearing faults, rotor faults, and shaft alignment faults are diagnosed.

In addition, the load device interlocked with the motor includes a bearing, a reducer, a belt pulley, an air compressor, a fan, and a pump, and as a defect of the load device, a bearing defect, a reducer defect, a belt pulley defect, an air compressor defect, a fan ) Diagnose at least one fault among faults and pump faults.

Also, as a defect in the energy state, at least one of a voltage/current imbalance between phases, a load factor error, and a power factor error is diagnosed.

In addition, according to the present invention, the defect information determined by the processing unit 30 and the degree of defect for the defect information are divided into stages and stored as defect size information, which is performed by the defect management unit 40.

Specifically, the defect information refers to information about the stator defect information, soft foot defect information, static/dynamic eccentricity information, and the like described above, and this information is stored through the defect information storage part of the defect management unit 40. In addition, the defect size information is stored in four stages in the form of normal stage information, caution stage information, serious stage information, and failure stage information according to the size of the defect, which is the defect classification of the defect management unit 40. It is done through parts. Through this, by performing the management step by step from the initial defect, it is possible not only to prevent deterioration of defects such as motors in advance, but also to increase the ease of management.

In addition, the normal stage corresponds to the normal stage in which no defects were detected, the caution stage corresponds to the stage requiring inspection as the second priority during regular inspection, and the critical stage corresponds to the stage requiring inspection as the first priority during regular inspection. , The failure stage corresponds to the stage that requires immediate inspection and repair.

Meanwhile, as illustrated in FIG. 1, defect information and defect size information corresponding to the degree of each defect are transmitted to the remote server 50 through the transmission/reception part of the defect management unit 40. And the remote server 50 receives information through a wired/wireless network, transmits the received information to the user terminal 60 or the control station 70, and responds from the user terminal 60 or the control station 70 The signal is received and transmitted to the defect control part of the defect management unit 40.

That is, when defect information and defect size information from the remote server 50 is transmitted to the user terminal 60 or the control station 70, the user (or system operator, manager) is the UI or the control station 70 of the user terminal 60. The current state of the motor, etc. is grasped in real time through the UI of, and a signal corresponding thereto is transmitted to the remote server 50, and the remote server 50 receives this signal and transmits it to the defect control part. Then, the fault control part side receives a signal from the remote server 50, and turns off the motor on/off (ON/OFF) switch according to the signal to stop the operation of the motor. As a result, it is possible to prevent the occurrence of a larger accident that may be caused by mechanical and electrical defects of the motor.

In addition, in the present invention, the measurement unit 10 or the data processing device installed in each MCC panel are network-connected to each other, so that a plurality of motors, a load device, and a plurality of information about the energy state are displayed in the UI of the user terminal 60 or the control station 70. Is displayed in an integrated manner so that not only experts but also general users can check the defects in detail.

In addition, since it is possible to perform one-on-one monitoring through the user UI as well as overall facility integrated monitoring through the control station 70 UI, the usefulness of management is greatly increased.

As can be seen in Fig. 6, such monitoring is performed by the UI in the MCC motor alignment window, motor status window, motor information window, load status information window, energy status information window, facility information window, periodic inspection notification window, and defect trend window. This can be done by displaying.

Let's first look at the most important windows, the motor status window, load status window, energy status window, and motor information window.

First, the motor status information window is a window showing the motor so that the status of the motor can be visually and conveniently checked. For example, when a defect in the stator occurs, the illustrated stator part is displayed in red, etc., so that it is possible to visually confirm that the failure state is at a time. In addition, it is possible to divide the condition into four stages by the defect classification part and apply a different color for each condition to make the condition divided into four stages to be checked.

And even in the case of the load status information window, it is a window showing the load devices so that each of the load devices can be visually and conveniently checked. In addition, as in the motor status information window, when a fan defect or the like occurs, the illustrated fan portion is displayed in red, so that it is possible to visually confirm that the failure status is at a time.

And the energy status window refers to a window that divides the energy status of the RST 3 phases and displays it in the form of a graph.

And the motor information window is a window that displays the speed, voltage, and current status of each motor.

In addition, the defect trend window divides the defects in the motor, load device and energy state into normal, caution, serious, and failure stages, and allows you to view the corresponding device or defect by period. For example, the defect scale of 3 months per device. By looking at the information in the form of a graph, or by looking at the defect size information of 3 months for each defect in the form of a graph, it is possible to clearly understand the defect trend of 3 months.

In addition, the present invention includes a facility management solution for periodic management of energy of each motor, each load device, and each facility. These facility management solutions include management items, and the management items further include items for facility organization and location, facility name, inspection regulations, inspection items, inspection details, inspection cycle, previous inspection date, and inspection officer (government/department). Include.

Items to be inspected are transmitted to the user terminal 60 or the control station 70 according to the inspection period input in the inspection period item through the facility management solution. Through this, the manager manages the motor, load, and energy facilities that need to be inspected, and when the inspection is completed and the result values are entered into each item, a report is issued. In addition, when the result value is inputted by the administrator, and the report is issued, based on the information reflected again, the items to be checked are transmitted to the user terminal 60 or the control station 70 according to the inspection period to manage the motor, load device, and energy facilities. It will be able to manage it periodically.

As described above, the present invention has the advantage that it is easy to install by installing CT and PT in the MCC panel, can be installed even while equipment (motors, load devices, etc.) is in operation, and can be installed in an MCC panel with good accessibility.

In addition, in terms of maintenance/repair, additional measures such as removal and installation of the vibration detection device are not required when repairing motors and load devices, as in the prior art (vibration analysis method), and separate measures are taken when restarting after repair. There is a convenience of not needing it.

In addition, by increasing the data acquisition amount of the data processing device, accuracy of analysis and reliability through UI can be improved, and versatility can be secured so that non-experts can fully utilize it.

Furthermore, the life of the data processing device is semi-permanent, and because it is composed of CT, PT, and data processing devices, it does not require expensive parts such as vibration detection devices used in the vibration analysis method. It has the effect of being able to.

Meanwhile, the present system is a system for predicting and diagnosing the state of the motor, and it is not possible to determine a physical defect in the housing of the motor. Accordingly, the present system determines a physical defect occurring on the outer surface of the motor housing and additionally proposes a method for maintaining/repairing it.

It may include a protective film (G) provided on the outer surface of the motor housing to suppress the occurrence of scratches and corrosion. The protective film (G) In this case, in the applied state in which the motor housing is used long, and the like fine grooves generated in the protective film (G) to make sure that such a scratch or corrosion on the outer surface of the motor housing caused by real-time protection film (G ) Needs to be maintained in a transparent state, and if a groove (hole) occurs for maintenance of the protective film G, it is necessary to check it.

As a means to meet the above needs, the protective film (G) film includes a first transparent adhesive layer (G1) in contact with the outer surface of the motor housing, a transparent heating layer (G2) provided on the first transparent adhesive layer (G1), and the transparent. A second transparent adhesive layer G3 provided over the heating layer G2 and a variable protective layer G4 provided over the second transparent adhesive layer G3 may be included.

Each of the first transparent adhesive layer (G1) and the second transparent adhesive layer (G3) is 100 parts by weight of an acrylic monomer composed of 70 to 99% by weight of butyl acrylate and 1 to 30% by weight of acrylonitrile, 0.1 to 5 parts by weight of a radical initiator, and It may contain 0.01 to 20 parts by weight of a crosslinking agent.

Butyl acrylate was adopted because the glass transition temperature was 0℃ or less when polymerized with a homopolymer, and acrylonitrile had a glass transition temperature of 80℃ or higher when polymerized with a homopolymer.

If the butyl acrylate is less than 70% by weight, the glass transition temperature is increased, thereby reducing the impact resistance, and there is a problem in that haze occurs. In addition, if the content exceeds 99% by weight, the glass transition temperature is too low, which is not preferable because there is a problem in that abrasion resistance is inferior.

If the content of acrylonitrile is less than 1% by weight, the glass transition temperature is too low, so that adhesion durability decreases, and if the content exceeds 30% by weight, there is a problem that the initial adhesive strength decreases, which is not preferable.

The radical initiator is used for polymerization of the acrylic monomer, and commercially available radical initiators may be used.

The crosslinking agent is added to crosslink the acrylate-based copolymer obtained by polymerizing butyl acrylate and acrylonitrile, and, for example, hexanediol diacrylate may be used. If the content ratio of the crosslinking agent is less than 0.1 parts by weight, the sheet becomes flexible and there is a problem that the cutting property decreases, resulting in a decrease in productivity, and if the content ratio exceeds 20 parts by weight, it becomes hard and the impact resistance decreases, and there is a problem of crushing, which is undesirable. .

Each of the first transparent adhesive layer G1 and the second transparent adhesive layer G3 may maintain adhesive strength even at about 37°C or higher while maintaining a transparent state.

And the transparent heating layer (G2) is provided on the top of the first transparent adhesive layer (G1) to be described later, is disposed between the first transparent adhesive layer (G1) and the second transparent adhesive layer (G3), indium tin oxide (Indium Tin) Oxide), which generates heat when DC or AC electricity is applied, and is characterized by being transparent.

The variable protective layer (G4) is provided on the second transparent heating layer (G2), and the first solution in which 3.84 g of N-isopropyl acrylamide (NIPAM) polymer and 1.25 g of sodium alginate are dissolved per 250 ml of distilled water, and A converting agent in which a second solution containing 3% calcium chloride and 0.5% ammonium persulfate is mixed in 300 ml of distilled water, and 5 to 30 parts by weight of methyltrimethoxysilane, 20 to 75 parts by weight of colloidal alumina, 30 parts by weight of isopropyl alcohol It may contain a protective agent containing less than parts.

The first solution and the second solution are each degassed with nitrogen gas, and the first solution is added dropwise by a syringe to the stirred second solution, and at the same time as the dropping, fine particles containing calcium alginate as macrocapsules are generated. . The polymerization of the NIPAM contained within 1 to 3 hours is completed, and the obtained fine particles can be washed 3 to 7 times with distilled water.

Such a converting agent is present in a transparent state at about 37°C or less, and in a state exceeding 37°C, the uncrosslinked polymer is insoluble in the fine particles and becomes cloudy, so it is converted to an opaque state. If it goes down again below 37℃ from the insoluble state, the converting agent is converted to a transparent state, and the transparent and opaque state may reversibly change.

The protective agent may be ultrasonically dispersed after mixing 5 to 30 parts by weight of methyltrimethoxysilane, 20 to 75 parts by weight of colloidal alumina, and 30 parts by weight of isopropyl alcohol or less by stirring for about 1 hour. It has excellent wear resistance, chemical resistance, corrosion resistance, weather resistance, and thermal stability.

In this way, the motor housing has an advantage that scratches and corrosion can be suppressed by being provided on the outer surface of the protective film G including a protective agent having excellent wear resistance and corrosion resistance.

As described above, as the motor housing is used for a long period of time with the protective film G provided on the outer surface, the protective film G may generate micro grooves or the like due to external force. Scratches and corrosion may occur.

As described above, the protective film (G) is maintained in a transparent state at 37°C or less (see [A] of Fig. 7), so that it is possible to check in real time whether scratches or corrosion have occurred on the surface of the motor housing with the protective film (G). have.

As described above, damage such as scratches, corrosion, etc. on the outer surface of the motor housing or to confirm in advance that the protective film G has been used for a long time while being provided (attached) to the outer surface of the motor housing. In a state where it is confirmed that this has occurred, there is a need to check the location of the groove or the like in the protective film G for maintenance of the protective film G.

At this time. When electricity is applied to the transparent heating layer (G2), the transparent heating layer (G2) generates heat to transfer heat to the change agent, and when the change agent exceeds 37°C, the variable protective layer (G4) containing a protective agent becomes cloudy. It becomes opaque. Meanwhile, the first transparent adhesive layer (G1), the transparent heating layer (G2), and the second transparent adhesive layer (G3) maintain a transparent state, and the color of the motor housing that was in an opaque state and the cloudy variable protective layer (G4) The color is contrasted (see [B] of FIG. 7), so that the location of the groove, etc. in the variable protective layer G4 can be easily identified (the color of the outer surface of the motor housing and the color of the opaque variable protective layer G4 is Other is preferred).

As described above, since the second transparent adhesive layer (G3) maintains adhesive force even at temperatures exceeding 37°C, the variable protective layer (G4) is newly added to the grooves generated in the variable protective layer (G4) attached to the outer surface of the motor housing. It can be easily maintained by putting it in.

As described above, since the motor housing includes the protective film G4 for easy maintenance, there is an advantage in that it is possible to suppress the occurrence of scratches, corrosion, etc. on the outer surface of the motor housing for a long period of time.

The present invention described above with reference to the accompanying drawings can be variously modified and changed by a person skilled in the art, and such modifications and changes should be construed as being included in the scope of the present invention.

10: measurement unit 20: conversion unit
30: processing unit 40: defect management unit
50: remote server 60: user terminal
70: control station

Claims (4)

A measuring unit that measures a current value and a voltage value supplied to the motor;
A conversion unit that derives waveforms of the current and voltage values and converts them into frequency data that is a value in a frequency domain; And
A comparison part that compares the frequency data with preset reference data, a storage part that stores a threshold value of a deviation that is determined to be a defect, and when the deviation between the frequency data and the reference data exceeds the threshold value, it is determined to be a defect A processing unit including a part;
Including,
The measurement unit is provided inside the MCC (Motor Control Center) panel or at a position adjacent to the MCC panel, is electrically connected to the MCC panel, and includes a power control part that increases and decreases the current and voltage of the RST 3 phase supplied to the motor,
As a defect of the motor, at least one of a stator defect, a soft foot defect, a static/dynamic eccentricity, a bearing defect, a rotor defect, and a shaft alignment defect is diagnosed,
As a defect of the load device interlocked with the motor, at least one of a bearing defect, a reducer defect, a belt pulley defect, an air compressor defect, a fan defect, and a pump defect is diagnosed,
Further comprising a motor housing containing the motor,
The motor housing includes a protective film on an outer surface of the motor housing,
The protective layer includes a first transparent adhesive layer in contact with the outer surface of the motor housing, a transparent heating layer provided on the first transparent adhesive layer, a second transparent adhesive layer provided on the transparent heating layer, and the second transparent adhesive layer. Including a variable protective layer,
Each of the first transparent adhesive layer and the second transparent adhesive layer is 100 parts by weight of an acrylic monomer composed of 70 to 99% by weight of butyl acrylate and 1 to 30% by weight of acrylonitrile, 0.1 to 5 parts by weight of a radical initiator, and 0.01 to 20 parts by weight of a crosslinking agent. Including parts by weight,
The transparent heating layer includes indium tin oxide,
The variable protective layer is a first solution in which 3.84 g of N-isopropyl acrylamide (NIPAM) polymer and 1.25 g of sodium alginate are dissolved per 250 ml of distilled water, and a second solution containing 3% calcium chloride and 0.5% ammonium persulfate in 300 ml of distilled water. A motor condition prediction system comprising a converting agent mixed with a solution and a protective agent including 5 to 30 parts by weight of methyltrimethoxysilane, 20 to 75 parts by weight of colloidal alumina, and 30 parts by weight of isopropyl alcohol.
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