Motor Fault Diagnosis Method and System

Abstract

The present invention relates to the field of motor fault diagnosis, and discloses a motor fault diagnosis method and system for timely finding abnormal conditions of motor operation and performing fault diagnosis, which is convenient to use and easy to implement; the method of the present invention includes: selecting a normal training data set, Calculate the first detection statistic, and calculate the detection threshold; select different types of fault data as the fault training data set, calculate the second detection statistic, use the kernel density estimation method to calculate the fault probability density function of the second detection statistic, and construct The probability density function set of all types of fault samples; select the test data set, calculate the third detection statistic according to the test data set, compare the third detection statistic with the detection threshold, and judge whether the motor is faulty; if a fault occurs, use the kernel The density estimation method calculates the fault density function of the third detection statistic, and constructs the probability density function set of the test data set, so as to diagnose the fault type.

Description

technical field [0001] The invention relates to the field of motor fault diagnosis, in particular to a motor fault diagnosis method and system. Background technique [0002] Motor is a kind of electrical equipment widely used in various industries, such as high-speed train traction drive system, wind power generator, new energy vehicle drive motor, rail traction motor, ship motor, etc. In practical applications, because the motor is affected by factors such as frequent start-up, load fluctuation, and harsh working environment, the motor running state is abnormal and inevitably fails. If these failures are not diagnosed and found in time, they will continue to deteriorate and eventually lead to the failure of the entire system, which will bring huge losses to industrial production. [0003] In the actual operation of the motor, such as switching between startup acceleration, constant speed, braking deceleration and other states, the dynamic characteristics of different worki...

AI Technical Summary

Problems solved by technology

In practical applications, because the motor is affected by factors such as frequent start-up, load fluctuations, and harsh working environment, the motor's operating state is abnormal and inevitably fails.

If these failures are not diagnosed and found in time, they will continue to deteriorate and eventually lead to the failure of the entire system, causing huge losses to industrial production

[0003] In the actual operation of the motor, such as switching between startup acceleration, constant speed, braking deceleration and other states, the dynamic characteristics of different working conditions are different, and the changes of system parameters and measurement data are complicated.

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