Open Access
Issue |
MATEC Web Conf.
Volume 104, 2017
2017 2nd International Conference on Mechanical, Manufacturing, Modeling and Mechatronics (IC4M 2017) – 2017 2nd International Conference on Design, Engineering and Science (ICDES 2017)
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Article Number | 01002 | |
Number of page(s) | 6 | |
Section | Chapter 1: Mechanical and Manufacturing Engineering | |
DOI | https://doi.org/10.1051/matecconf/201710401002 | |
Published online | 14 April 2017 |
- Sh. Renping, H. Wentao, W. Yayun, Q. Xiankun. The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform. IMEKO. 54(2014) 118–132 [Google Scholar]
- H. Qingbo, K. Fanrong, Y. Ruanqiang. Subspaced-based gearbox monitoring by kernel principal component analysis. MSSP, 21 (2007) 1755–1772 [Google Scholar]
- X. Yingqun Xiao, F. Lianggui. A novel neural-network approach of analog fault diagnosis based on kernel discriminate analysis and particle swarm optimization. WFSC ,12 (2012) 904–920 [Google Scholar]
- B. Scholkopf, A. Smola, K.R. Muller. Nonlinear principal component analysis as a kernel eigenvalue problem. NC, 10 (1998) 1299–1319 [Google Scholar]
- H. Xuewen. Study on theory and method of fault intelligent diagnosis based on support vector machine [D]. South University Of China, Changsha, 12 (2004). [Google Scholar]
- Zh. Ying, Z. Hongfu, B. Fang. Classification of fault location and performance degradation of a roller bearing. IMEKO, 46 (2013) 1178–1189 [Google Scholar]
- W. Xinfeng, Q. Jing, L. Guangjun. Kernel Function Optimization in Kernel Principle Component Analysis and Its Application to Feature extraction of gear faults. Journal of Vibration, Measurement &Diagnosis, 27, 1(2007) 62–64 [Google Scholar]
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