Title :
SFB selection method and its application in engine waveform analysis and fault diagnosis
Author :
Jiang, Shu-Xia ; Liu, Yuan-Yuan ; Zhang, Hong
Author_Institution :
Sch. of Traffic & Logistics, Central South Univ. of Forestry & Technol., Changsha, China
Abstract :
A novel signal processing method, called sensitive frequency band (SFB) selection, is proposed based on the correlation coefficients between the original signal and its reconstructed approximation and detail parts. By identifying the noised-related and fault-related SFBs, the SFB selection method can be used to reduce noise and extract fault feature effectively for a signal. This method is applied to analyze the engine injector-pulse-width waveforms, and it works well for engine waveform analysis and fault diagnosis. This study will also supply a good reference for signal processing in the other research fields.
Keywords :
engines; fault diagnosis; feature extraction; mechanical engineering computing; signal denoising; signal reconstruction; waveform analysis; wavelet transforms; SFB selection method; correlation coefficient; engine injector-pulse-width waveform; engine waveform analysis; fault diagnosis; fault feature extraction; noised-related SFB; sensitive frequency band; signal processing method; signal reconstruction; Engines; Fault diagnosis; Noise reduction; Signal to noise ratio; Wavelet transforms; Fault feature extraction; Noise reduction; SFB selection; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1534-0
DOI :
10.1109/ICWAPR.2012.6294796
