Application of Resonance Demodulation in Rolling Bearing Early Fault Feature Extraction Based on Electronic Resonance

Abstract

Resonance demodulation is a commonly used rolling bearing fault diagnosis method, but resonance frequency of traditional resonance demodulation technology has a certain discreteness due to differences in terms of processing, testing and installation of sensor to collect fault information, so parameter of band-pass filter needs manual pre-determination. At the same time, as information of early bearing minor fault is often submerged in strong background noise, signal to noise ratio is low. Application of traditional resonance demodulation method to improve signal to noise ratio is with limited capability, and diagnosis effect is not obvious. This paper makes use of the equivalence of electrical resonance system and mechanical resonance system and gains resonance of sensor output signal through electrical resonator, which breaks through shortcomings of traditional method, achieve ultra narrow brand high-resolution detection, and improves signal to noise ratio of fault feature signal. Finally, verification is done through simulation fault bearing signal and actually collected fault signal. The results proves validity and effectiveness of the proposed method which has an important guiding significance for engineering