Extraction of Machine Fault Signal Based on Discrete Wavelet Transform

Xian Zhao Yang; Geng Guo Cheng

doi:10.4028/www.scientific.net/AMR.338.388

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 338Extraction of Machine Fault Signal Based on...

Extraction of Machine Fault Signal Based on Discrete Wavelet Transform

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.

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Periodical:

Advanced Materials Research (Volume 338)

Pages:

388-391

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.338.388

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Online since:

September 2011

Authors:

Xian Zhao Yang, Geng Guo Cheng

Keywords:

Discrete Wavelet Transform (DWT), Fault Diagnosis, Nonstationary Signal

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