Identification of vibration–speed curve for hydroelectric generator unit using statistical fuzzy vector chain code and support vector machine
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Han Xiao | Xin Xia | Jian Xiao | Jianzhong Zhou | Jian-zhong Zhou | Wenlong Fu | Han Xiao | Wenlong Fu | Weibo Zhang | Jian Xiao | Xin Xia | Weibo Zhang
[1] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[2] Bo-Suk Yang,et al. Wavelet support vector machine for induction machine fault diagnosis based on transient current signal , 2008, Expert Syst. Appl..
[3] Chih-Jen Lin,et al. A Practical Guide to Support Vector Classication , 2008 .
[4] Ari Visa,et al. Multiscale Fourier descriptors for defect image retrieval , 2006, Pattern Recognit. Lett..
[5] Zhang Yanning. On sub-band energy feature extraction method of vibration fault signals of hydroelectric sets , 2004 .
[6] Herbert Freeman,et al. Computer Processing of Line-Drawing Images , 1974, CSUR.
[7] Jun Guo,et al. Vibrant fault diagnosis for hydroelectric generator units with a new combination of rough sets and support vector machine , 2012, Expert Syst. Appl..
[8] Guojun Lu,et al. Study and evaluation of different Fourier methods for image retrieval , 2005, Image Vis. Comput..
[9] Yongchuan Zhang,et al. Identification of shaft orbit for hydraulic generator unit using chain code and probability neural network , 2012, Appl. Soft Comput..
[10] V. Rai,et al. Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform , 2007 .
[11] Miroslav Hudec,et al. Integration of data selection and classification by fuzzy logic , 2012, Expert Syst. Appl..
[12] Kyoung-jae Kim,et al. A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach , 2012, Comput. Oper. Res..
[13] Jia Rong,et al. Hydroelectric generating unit vibration fault diagnosis via BP neural network based on particle swarm optimization , 2009, 2009 International Conference on Sustainable Power Generation and Supply.
[14] Xiaoyuan Zhang,et al. Multi-class support vector machine optimized by inter-cluster distance and self-adaptive deferential evolution , 2012, Appl. Math. Comput..
[15] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[16] Jianzhong Zhou,et al. Fault diagnosis based on Walsh transform and rough sets , 2009 .
[17] Kamal Hadad,et al. Fault diagnosis and classification based on wavelet transform and neural network , 2011 .
[18] Ming Guo,et al. Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT , 2010 .
[19] L. Liu,et al. Vibration Fault Diagnosis for Hydraulic Generator Units with Pattern Recognition and Cluster Analysis , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
[20] Chaur-Chin Chen. Improved moment invariants for shape discrimination , 1993, Pattern Recognit..
[21] Xingqi Luo,et al. Fault Diagnosis Method of Hydropower Units Based on Integrated Information Fusion Technology , 2009, 2009 Asia-Pacific Power and Energy Engineering Conference.
[22] K. Loparo,et al. Bearing fault diagnosis based on wavelet transform and fuzzy inference , 2004 .