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A Fault Diagnosis Method for Motor Rolling Bearings Based on Second-Order Parameter Matching Stochastic Resonance

A stochastic resonance and rolling bearing technology, applied in mechanical bearing testing, engine testing, mechanical parts testing, etc., can solve the problems of high noise and vibration, low starting current, etc.

Active Publication Date: 2022-04-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Although the switched reluctance motor has the advantages of high system reliability, large starting torque, and low starting current, it also has the disadvantage of greater noise and vibration than other motors.

Method used

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  • A Fault Diagnosis Method for Motor Rolling Bearings Based on Second-Order Parameter Matching Stochastic Resonance
  • A Fault Diagnosis Method for Motor Rolling Bearings Based on Second-Order Parameter Matching Stochastic Resonance
  • A Fault Diagnosis Method for Motor Rolling Bearings Based on Second-Order Parameter Matching Stochastic Resonance

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Embodiment Construction

[0017] The following describes the technical solution of the present invention in detail by taking the second-order parameter matching stochastic resonance algorithm as an example in conjunction with the accompanying drawings and specific implementation methods.

[0018] Such as figure 1 Shown, the specific steps:

[0019] Step 1: Use the vibration sensor to collect the vibration signal of the rolling bearing of the motor;

[0020] Step 2: use the second-order Duffing-Holmes equation to construct a stochastic resonance system model with second-order parameter matching;

[0021] Step 3: take the vibration signal of the rolling bearing of the motor as input x, substitute it into the stochastic resonance model of second-order parameter matching, and calculate the parameters a and b of the potential well function of the stochastic resonance system;

[0022] Step 4: Initialize the damping factor γ, determine the range of γ, and set the threshold range of γ [γ start ,γ end ];

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Abstract

The invention discloses a method for diagnosing motor rolling bearing faults by using stochastic resonance of second-order parameter matching. The fault feature extraction of the vibration signal of the motor rolling bearing is transformed into a stochastic resonance problem. Taking the vibration signal of the motor rolling bearing as input, the stochastic resonance method of second-order parameter matching is used to amplify the weak fault feature signal in the vibration signal, and the corresponding output signal is obtained. The output signal is analyzed in time domain and frequency domain to complete the feature extraction, so as to judge whether there is a fault in the rolling bearing of the motor and the type of fault.

Description

technical field [0001] The invention relates to a fault diagnosis technology of a switched reluctance motor and a stochastic resonance technology, and generally belongs to the field of fault diagnosis. Background technique [0002] Motor fault diagnosis technology has always been one of the key directions in the research of mechanical faults at home and abroad. The diagnosis technology based on different physical parameters such as vibration signal, current signal, acoustic signal, spectral signal and temperature is constantly developing. When the switched reluctance motor is running, it will be affected by the vibration of bearings and other components and external noise. The signal-to-noise ratio of the vibration signal collected by the sensor including the fault signal will become very low, and the analysis of the current signal will also find that it is not standard. Sinusoidal signal, there is harmonic signal interference, extracting fault features from the original swi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M15/00G01M13/045G01M13/04G01H17/00G06F17/11
CPCG01M15/00G01M13/04G01M13/045G01H17/00G06F17/11
Inventor 王成栋杨冬辰马运超王成
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA