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Extraction of Machine Fault Signal Based on Discrete Wavelet Transform
- 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.
- Subjects :
- Discrete wavelet transform
Engineering
Lifting scheme
business.industry
Second-generation wavelet transform
Stationary wavelet transform
General Engineering
Pattern recognition
Wavelet packet decomposition
Wavelet
Electronic engineering
Artificial intelligence
Harmonic wavelet transform
business
Continuous wavelet transform
Subjects
Details
- ISSN :
- 16628985
- Volume :
- 338
- Database :
- OpenAIRE
- Journal :
- Advanced Materials Research
- Accession number :
- edsair.doi...........fd668c1e3c257a484906e397508b1f18