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Extraction of Machine Fault Signal Based on Discrete Wavelet Transform

Authors :
Geng Guo Cheng
Xian Zhao Yang
Source :
Advanced Materials Research. 338:388-391
Publication Year :
2011
Publisher :
Trans Tech Publications, Ltd., 2011.

Abstract

The impact signal is contained in the fault signals of some pivotal components such as bearings and gears. Extracting weensy impact information is an important method to diagnose equipment. With the combination of discrete wavelet transform and spectrum analysis, extracting the nonstationary signals from vibrating signal in machine is a practically effective means of diagnosing the fault signals and their types so as to anticipate machine faults. It is very effective to extract impact information in application by utlizing the discrete wavelet transform.

Details

ISSN :
16628985
Volume :
338
Database :
OpenAIRE
Journal :
Advanced Materials Research
Accession number :
edsair.doi...........fd668c1e3c257a484906e397508b1f18