CN208283527U - AC induction motor on-line monitoring and diagnosis system based on spectrum analysis - Google Patents
AC induction motor on-line monitoring and diagnosis system based on spectrum analysis Download PDFInfo
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- CN208283527U CN208283527U CN201820886535.7U CN201820886535U CN208283527U CN 208283527 U CN208283527 U CN 208283527U CN 201820886535 U CN201820886535 U CN 201820886535U CN 208283527 U CN208283527 U CN 208283527U
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Abstract
The AC induction motor on-line monitoring and diagnosis system based on spectrum analysis that the utility model discloses a kind of, this system includes motor control loop, electric machine controller, connect the voltage transformer and current transformer of motor control loop, vibrating sensor is set to motor shaft socket end and output signal is transmitted to vibration signals collecting module, temperature sensor is set to motor shaft socket end and winding terminal and output signal is transmitted to temperature signal collection module, voltage transformer and current transformer output signal is transmitted to electrical signal collection module, electrical signal collection module, vibration signals collecting module, it is connected between temperature signal collection module and electric machine controller and monitoring, diagnosing analysis module by network communication.This system motor in real time load voltage, electric current, vibration and temperature signal, by spectrum analysis, the trend and level diagnosis analysis of electrical fault are realized, and carry out online real-time early warning, effectively reduce electrical fault rate, it is ensured that the safety of production system operates normally.
Description
Technical field
The utility model relates to electrical equipment monitoring, diagnosing field more particularly to a kind of alternating current asynchronous based on spectrum analysis
Motor on-line monitoring and diagnosis system.
Background technique
With the raising of development and the device fabrication level of modern industrial technology, the number of motors used in production system is not
Disconnected to increase, single-machine capacity is also continuously improved.Primary drive element and executive component of the squirrel cage asynchronous motor as equipment, just
Often operation is very great to safe and efficient, the high-quality and low consumption operation meaning for guaranteeing manufacturing process, and failure can not only damage
Bad motor itself, and will affect entire production system, or even jeopardize personal safety causes huge economic loss and severe
Social influence.
Status monitoring and diagnosis are carried out to asynchronous machine important in production system, electrical fault can be effectively reduced
Rate reduces production suspension induced losses caused by burst accident, reduces maintenance cost, prevents the security risk to personnel and equipment, and is real
Present condition maintenance creates conditions: can also provide experience and data accumulation for design of electrical motor and producer, and provide and improve motor
The important information of energy and reliability.Therefore analysis asynchronous machine behavioural characteristic in case of a fault and diagnosis is made, to guarantee
Production system safe and reliable operation, targetedly reduction electrical fault rate is all very necessary.
Currently, the defencive function of asynchronous machine is mainly realized by relay protection system mostly, in motor control loop
It accesses CT and/or PT and detects motor load voltage, current value, access the control such as PLC controller by the analog signals of 4~20mA
System processed, control system carry out trend analysis to the virtual value of motor load voltage, electric current, and the signal of which acquisition is effective
Value signal is not suitable for for spectrum analysis.Therefore often when motor relay protection system acts, failure is had occurred and that, this
It is because traditional electric motor protecting does not have the function of trouble saving and early detection failure.
Summary of the invention
The technical problem to be solved by the utility model is to provide a kind of AC induction motor based on spectrum analysis is online
Monitoring diagnosis system, this system overcome conventional motors protect defect, motor in real time load voltage, electric current, vibration and
Temperature signal realizes the typical electrical, trend of mechanical breakdown of motor and level diagnosis analysis by spectrum analysis, and carries out
Line real-time early warning effectively reduces electrical fault rate, it is ensured that the safety of production system operates normally.
In order to solve the above technical problems, AC induction motor on-line monitoring and diagnosis system of the utility model based on spectrum analysis
System includes motor control loop, electric machine controller, the voltage transformer and current transformer for connecting motor control loop, further includes
Vibrating sensor, temperature sensor, electrical signal collection module, vibration signals collecting module, temperature signal collection module and prison
Diagnostic analysis module is surveyed, the vibrating sensor is set to motor shaft socket end and output signal is transmitted to the vibration signals collecting
Module, the temperature sensor is set to motor shaft socket end and winding terminal and output signal is transmitted to the temperature signal collection mould
Block, the voltage transformer and current transformer output signal are transmitted to the electrical signal collection module, the electric signal
Between acquisition module, vibration signals collecting module, temperature signal collection module and electric machine controller and monitoring, diagnosing analysis module
It is connected by network communication.
Further, this system further includes mobile intelligent terminal, the mobile intelligent terminal and monitoring, diagnosing analysis module it
Between pass through wireless network communication connect.
Further, high-pass filtering circuit, bandpass filtering circuit and vibration threshold report built in the vibration signals collecting module
Alert unit, the signal of the vibrating sensor transmission is through the high-pass filtering circuit and bandpass filtering loop transfer to monitoring, diagnosing
Analysis module, when the signal of vibrating sensor transmission is greater than vibration threshold, the vibration threshold alarm unit output report
Alert signal.
Further, the temperature sensor is PT100 platinum resistance thermometer sensor, and the electric machine controller is Programmable logical controller
Device.
Further, the monitoring, diagnosing analysis module includes spectral analysis unit, and the spectral analysis unit is mutual to electric current
The current signal of sensor acquisition and the vibration signal of vibrating sensor acquisition carry out Fourier transformation, extract current signal and vibration
The fundamental frequency and frequency multiplication information of signal, scan for failure-frequency feature, make electrical fault identification.
Since the utility model uses above-mentioned skill based on the AC induction motor on-line monitoring and diagnosis system of spectrum analysis
Art scheme, i.e. this system include motor control loop, electric machine controller, the voltage transformer and electric current for connecting motor control loop
Mutual inductor, vibrating sensor is set to motor shaft socket end and output signal is transmitted to vibration signals collecting module, temperature sensor
Set on motor shaft socket end and winding terminal and output signal is transmitted to temperature signal collection module, voltage transformer and Current Mutual Inductance
Device output signal is transmitted to electrical signal collection module, and electrical signal collection module, vibration signals collecting module, temperature signal are adopted
Collect and is connected between module and electric machine controller and monitoring, diagnosing analysis module by network communication.This system overcomes conventional motors to protect
The defect of shield, motor in real time load voltage, electric current, vibration and temperature signal realize that motor is typical by spectrum analysis
Electrically, the trend of mechanical breakdown and level diagnosis analysis, and online real-time early warning is carried out, effectively reduce electrical fault rate, it is ensured that
The safety of production system operates normally.
Detailed description of the invention
The utility model is described in further detail with embodiment with reference to the accompanying drawing:
Fig. 1 is AC induction motor on-line monitoring and diagnosis system schematic of the utility model based on spectrum analysis.
Specific embodiment
Embodiment is as shown in Figure 1, AC induction motor on-line monitoring and diagnosis system of the utility model based on spectrum analysis
Voltage transformer pt and Current Transmit including motor control loop T, electric machine controller U4, connection motor control loop T,
It further include vibrating sensor 2, temperature sensor 3, electrical signal collection module U1, vibration signals collecting module U2, temperature signal
Acquisition module U3 and monitoring, diagnosing analysis module U5, the vibrating sensor 2 is set to 1 bearing end of motor and output signal is transmitted
To the vibration signals collecting module U2, the temperature sensor 3 is set to 1 bearing end of motor and winding terminal and output signal passes
The temperature signal collection module U3 is transported to, the voltage transformer pt and Current Transmit output signal are transmitted to the electricity
Gas signal acquisition module U1, the electrical signal collection module U1, vibration signals collecting module U2, temperature signal collection module U3
It is connected between electric machine controller U4 and monitoring, diagnosing analysis module U5 by network communication.
Preferably, this system further includes mobile intelligent terminal U6, and the mobile intelligent terminal U6 and monitoring, diagnosing analyze mould
It is connected between block U5 by wireless network communication.Mobile intelligent terminal can be the equipment such as smart phone, PAD, mutual using movement
Connection technology realizes that intelligent mobile application APP, completion equipment point-detecting, exceptional state alarm, diagnostic result mobile terminal show and consult
Etc. functions.
Preferably, high-pass filtering circuit, bandpass filtering circuit and vibration threshold built in the vibration signals collecting module U2
Alarm unit, the signal that the vibrating sensor 2 transmits extremely are monitored through the high-pass filtering circuit and bandpass filtering loop transfer
Diagnostic analysis module U5, when the signal of the vibrating sensor 2 transmission is greater than vibration threshold, the vibration threshold alarm unit
Export alarm signal.
Preferably, the temperature sensor 3 is PT100 platinum resistance thermometer sensor, and the electric machine controller U4 is programmable logic control
Device processed.
Preferably, the monitoring, diagnosing analysis module U5 includes spectral analysis unit, and the spectral analysis unit is to electric current
The vibration signal that the current signal and vibrating sensor 2 of mutual inductor CT acquisition acquire carries out Fourier transformation, extracts current signal
With the fundamental frequency and frequency multiplication information of vibration signal, failure-frequency feature is scanned for, makes 1 fault identification of motor.
Electrical signal collection module has three-phase current signal interface, the voltage signal interface, number of 0~5A in this system
Input and output signal interface and communication interface are measured, rotary speed unstabilization is fixed when in view of electric machines for roller due to variable parameter operation, load
Variation etc. situations and generate non-stationary signal, for non-stationary signal, difficult point is to carry out feature with the method for wavelet analysis
It extracts, the signal of generation is monitored and analyzed, and the result after analysis is transmitted, therefore, electrical signal collection mould
Block requirement response is fast, stability is good, is used for the acquisition of the signals such as motor control voltage, three-phase current, while passing through Ethernet
Realize with the communication connection of monitoring, diagnosing analysis module, carry out the transmission of motor encoder signal, by voltage and current signals waveform with
Motor encoder signal is matched, and is handled the signal of acquisition, feature extraction, and information processing result is passed through Ethernet
Realize that the information between monitoring, diagnosing analysis system is transmitted；
Vibration signals collecting module has 0~5V vibration signal interface, output signal interface, 4~20mA analog output
And communication interface, according to the difference of asynchronous machine operating condition and main frequency of vibration point, built-in high-pass filtering circuit and bandpass filtering
Circuit is monitored and analyzed the signal of acquisition, and the data after analysis are transmitted by Ethernet, therefore, the mould
Block requirement response is fast, stability is good, while realizing the alarm of local vibration threshold；
Temperature signal collection module has PT100 platinum resistance thermometer sensor, signal input interface and communication interface, is mainly used for
The acquisition of motor bearings temperature and winding temperature signal, meanwhile, communication company is carried out by Ethernet and monitoring, diagnosing analysis module
It connects, transmits temperature signal real value；
Electric machine controller generally uses programmable logic controller (PLC), realizes the automatic control to motor according to the technological requirements,
Mainly there is the control opened, stop logic and technique amount, by data-interface, related process amount information is transferred to monitoring, diagnosing analysis
Module, for acquiring the processing of data and the diagnostic analysis of equipment state；
Monitoring, diagnosing analysis module is the condition diagnosing nucleus module based on spectrum analysis, to motor current signal, vibration
Dynamic signal is calculated by accurate Fourier transformation, extracts fundamental frequency and frequency multiplication information, carries out fault characteristic frequency search, according to event
Hinder feature and carries out electrical fault identification.
Analyzing and diagnosing is carried out to motor abnormality by this system:
1) winding abnormity diagnosis
A. the asymmetry of triple harmonic current
The short-circuited conducting sleeve formed in winding in the case of electrical fault causes triple-frequency harmonics that part compensation occurs, and causes failure winding
Middle triple-frequency harmonics reduces, and with the development of failure, the asymmetric degree of three-phase current is aggravated, the synthesis magnetic of triple-frequency harmonics in air gap
Flux increases, and triple harmonic current is caused in non-faulting winding to increase, by the spectrum analysis to current of electric, obtain motor around
The fault trend and state of group；
B. winding temperature is abnormal
Motor stator winding temperature objectively responds motor operating state, according to the motor class of insulation, confirms machine winding temperature
Threshold value is risen, is diagnosed by the acquisition to motor winding temperature, continuously exceeds temperature rise threshold value, alarm is provided；
2) three-phase imbalance diagnoses
In formula: Δ I is motor three-phase current deviation, and Imax is motor three-phase current maximum value, and Imin is motor three-phase
Current minimum, Iavg are motor three-phase current average value；
When motor three-phase current deviation is more than threshold value, alarmed extremely motor three-phase current unbalance；
3) motor broken squirrel-cage rotor bars diagnose
Motor stator current signal is acquired by current transformer, current signal uses Digital Signal Processing after filtering
Technology be fourier transformed after as characteristic signal, if there is rotor bar breaking fault, by the frequency of occurrences in motor stator electric current
Additional components (side band wave), to make rotor broken bar diagnosis；
4) motor load exception/card resistance diagnoses
Load abnormal/jamming failure belongs to the Late manifestations of mechanical failure, specifically may be embodied in bearing and exception occurs, turns
Dynamic difficulty；When there is insufficient lubrication/card resistance stall failure, current of electric virtual value will appear significant change, humorous with time-frequency spectrum
Significant change also occurs for wave, makes load abnormal/card resistance diagnosis accordingly；
5) loosen/misalign fault diagnosis
The symmetry of electric machine phase current can be destroyed by loosening/misalign failure, influence stator winding voltage and parallel branch electricity
The uniformity of distribution is flowed, and leads to the appearance of additional harmonic, and harmonic amplitude unevenly increases relative to fundamental wave, the same to time difference
Move spuious induction reactance and input impedance to increase, loosen/misalign failure and be presented as that motor/load misaligns more, when occur loosening/no
When centering failure, current total harmonic becomes larger, and will appear in current spectrum and turn the relevant characteristic frequency components of frequency;
6) motor bearings abnormal vibration diagnoses
Under normal condition, bearing fault frequency is not present in rumble spectrum, when bearing breaks down, just will appear this
Frequency content；Bearing fault frequency is all the non-integral number frequency multiplication of speed-frequency, in speed spectrum other than non-integral number frequency multiplication, is had
When there is also its harmonic components；Rolling bearing is made of inner ring, outer ring, retainer and four part of rolling element, when any one
When defect occurs in component, vibration of bearings speed spectrum can all show different signal characteristics；In the several of known rolling bearing
On the basis of what size, rolling element number and revolving speed, a series of failure-frequencies of bearing can be calculated, utilize these failures frequency
Rate can detect the failure of bearing inner race, outer ring, retainer and rolling element itself respectively；
The impact vibration spacing frequency calculation formula as caused by local defect is as follows:
Inner ring failure-frequency:；
Outer ring failure-frequency:；
Rolling element failure-frequency:；
Retainer and outer ring tribological failure frequency:；
In formula,For the revolving speed of motor shaft,For rolling element diameter,For rolling element central diameter,For contact angle, this is connect
Angle between feeler abutment face center and the rolling element line of centres and bearing sagittal plane,For rolling element number.
Spectrum analysis is carried out by the vibration signal acquired to vibrating sensor, the failure that can be obtained motor bearings becomes
Gesture.
This system by acquisition motor load operation when electric current, voltage, vibration and temperature signal, by analysis spectrum,
The features such as harmonic wave, electric parameter, and in conjunction with motor process parameter, by unified tool and analyzing and diagnosing platform, realize electricity
The problems such as machine is typical electrical, mechanical breakdown carries out trend and level diagnosis analysis, while realizing online real-time early warning.
Occasion of this system especially suitable for adverse circumstances such as important high-voltage asynchronous motors and live high temperature, high humidity,
Asynchronous machine equipment state can be effectively held, point inspection load is reduced, provides guidance for pre-emptive maintenace.
This system has a wide range of application, especially suitable for metallurgy industry, such as the asynchronous machine of ironmaking, steel-making region, motor
Load the occasion of the adverse circumstances such as metastable working condition and live high temperature, high humidity.It is effectively reduced by fault diagnosis
Electrical fault rate, it is ensured that the safety of production system operates normally.
Claims (5)
1. a kind of AC induction motor on-line monitoring and diagnosis system based on spectrum analysis, including motor control loop, motor control
Device processed, the voltage transformer and current transformer for connecting motor control loop, it is characterised in that: further include vibrating sensor, temperature
It spends sensor, electrical signal collection module, vibration signals collecting module, temperature signal collection module and monitoring, diagnosing and analyzes mould
Block, the vibrating sensor is set to motor shaft socket end and output signal is transmitted to the vibration signals collecting module, the temperature
Degree sensor is set to motor shaft socket end and winding terminal and output signal is transmitted to the temperature signal collection module, the voltage
Mutual inductor and current transformer output signal are transmitted to the electrical signal collection module, the electrical signal collection module, vibration
Pass through network communication between dynamic signal acquisition module, temperature signal collection module and electric machine controller and monitoring, diagnosing analysis module
Connection.
2. the AC induction motor on-line monitoring and diagnosis system according to claim 1 based on spectrum analysis, feature exist
In: this system further includes mobile intelligent terminal, passes through wireless network between the mobile intelligent terminal and monitoring, diagnosing analysis module
Network communication connection.
3. the AC induction motor on-line monitoring and diagnosis system according to claim 1 or 2 based on spectrum analysis, feature
It is: high-pass filtering circuit, bandpass filtering circuit and vibration threshold alarm unit built in the vibration signals collecting module, it is described
The signal of vibrating sensor transmission through the high-pass filtering circuit and bandpass filtering loop transfer to monitoring, diagnosing analysis module, when
When the signal of the vibrating sensor transmission is greater than vibration threshold, the vibration threshold alarm unit exports alarm signal.
4. the AC induction motor on-line monitoring and diagnosis system according to claim 1 or 2 based on spectrum analysis, feature
Be: the temperature sensor is PT100 platinum resistance thermometer sensor, and the electric machine controller is programmable logic controller (PLC).
5. the AC induction motor on-line monitoring and diagnosis system according to claim 1 or 2 based on spectrum analysis, feature
Be: the monitoring, diagnosing analysis module includes spectral analysis unit, and the spectral analysis unit acquires current transformer
Current signal and the vibration signal of vibrating sensor acquisition carry out Fourier transformation, extract the fundamental frequency of current signal and vibration signal
With frequency multiplication information, failure-frequency feature is scanned for, makes electrical fault identification.
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| CN113189483A (en) * | 2021-04-25 | 2021-07-30 | 西安交通大学 | Frequency conversion spectrum peak and current range joint inference axial flow fan fault diagnosis method |
| CN113446235A (en) * | 2021-07-08 | 2021-09-28 | 上海威派格智慧水务股份有限公司 | Fault diagnosis method for centrifugal pump of secondary water supply equipment |
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