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The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform.
- Source :
-
Measurement (02632241) . Aug2014, Vol. 54, p118-132. 15p. - Publication Year :
- 2014
-
Abstract
- Highlights: [•] A new method for multi-damage extraction and classification of gear system is proposed. [•] Using PCA and KPCA to extracte the signal feature of gear system. [•] Five kinds of fault signal are analyzed under 300rpm, 900rpm, 1200rpm and 1500rpm. [•] Proposed method can be used to identify various faults (multi-fault) and damage level. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 02632241
- Volume :
- 54
- Database :
- Academic Search Index
- Journal :
- Measurement (02632241)
- Publication Type :
- Academic Journal
- Accession number :
- 96243659
- Full Text :
- https://doi.org/10.1016/j.measurement.2014.04.016