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

fYear

2012

fDate

15-17 July 2012

Firstpage

296

Lastpage

301

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on

Conference_Location

Xian

ISSN

2158-5695

Print_ISBN

978-1-4673-1534-0

Type

conf

DOI

10.1109/ICWAPR.2012.6294796

Filename

6294796