Electrostatic monitoring of rolling bearings based on short-time Fourier transform and cepstrum
In view of the problem of coupling multiple excitation sources of rolling bearing under conventional monitoring methods,the electrostatic monitoring technology was introduced,and a fault feature extraction method based on short-time Fourier transform and cepstrum was proposed.A test platform for electrostatic monitoring of rolling bearing was designed and built to collect the electrostatic,vibration signals of rolling bearing under normal and fault conditions;from the perspective of time domain,frequency domain and time-frequency domain,it was proved that the method of time-frequency analysis combined with cepstrum can accurately extract the eigenvalues matching with the actual bearing fault location;by comparing with the fault characteristics of synchronous vibration signal,the low-frequency characteristics of electrostatic signals were prominent and the high-frequency attenuation was fast.The test results showed that the early wear failure of rolling bearing could be accompanied by strong electrostatic phenomenon.The short-time Fourier transform and cepstrum analysis of electrostatic signals can effec-tively remove the high-frequency excitation sources and highlight the bearing fault characteristics in low-frequency.Compared with vibration detection,the signal source collected by electrostatic detection can reflect the bearing fault information more directly,providing an idea for equipment fault diagnosis.
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