SFB selection method and its application in engine waveform analysis and fault diagnosis

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 ca...

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Bibliographic Details
Published in2012 International Conference on Wavelet Analysis and Pattern Recognition pp. 296 - 301
Main Authors Shu-Xia Jiang, Yuan-Yuan Liu, Hong Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
Engines
Fault diagnosis
Fault feature extraction
Noise reduction
SFB selection
Signal to noise ratio
Wavelet transform
Wavelet transforms
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Summary: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.
ISBN:9781467315340
1467315346
ISSN:2158-5695
DOI:10.1109/ICWAPR.2012.6294796