Fault Diagnosis Method for Locomotive Bogies Based on Wavelet Analysis
Tefang Chen, Xiaoping Fan · Zhongguo tiedao kexue · 2005
In this paper, the vibration signals of locomotive bogies are analyzed in terms of time and frequency domains respectively, based on wavelet transformation principles. The modulate Gauss function is selected as the analysis wavelet to deal with the fault signal saltation caused by the damage concussion, according to the (characteristics) of fault vibration signals. Experimental results show that this fault diagnosis method is more (explicit) to the description of transient signals under high noisy conditions for railway locomotives than (time/frequency) domain signal processing techniques presented ever before, and is more sensitive to the saltation of vibration signals caused by one or more bears local damages. It is an effective measure to fault diagnosis of (locomotive) bogie.