Research on Fault Diagnosis Method of Bogie Bearing Based on Microphone Arrays

摘要

Bogie run-in test is a key link to verify the maintenance quality of key components of bogies. In view of the problem that the traditional evaluation method is unable to accurately determine the bearing state of the bogie during the running test, a method of fault diagnosis and positioning of the bogie bearing based on microphone arrays is proposed. Firstly, the acquired microphone signal is denoised, and the kurtosis spectrum is then used to analyze the maximum kurtosis of the microphone signal. With this, the frequency corresponding to the maximum kurtosis is taken as the center frequency to determine the resonance frequency band. Finally, the de-noising signal is filtered, the resonant frequency band signal is extracted, and envelope processing is performed, followed by the analysis of the envelope spectrum of the signal to determine the fault type of the bearing. The difference in the fault characteristics in the spectrogram of the microphone signal is compared to determine the location of the fault. The experimental results show that the method can find the bearing fault in time and determine the type and position of the bearing fault in the condition of interference noise in the surrounding environment, proving the feasibility of the method in the fault diagnosis and positioning of the rolling bearing of the bogie.