title: A hybrid intelligent multi-fault detection method for rotating machinery based on RSGWPT, KPCA and Twin SVM.
abstract: This paper proposes a hybrid intelligent method for multi-fault detection of rotating machinery, in which three methods, i.e. including the redundant second generation wavelet package transform (RSGWPT), the kernel principal component analysis (KPCA) and the twin support vector machine (TWSVM), are combined. Firstly, RSGWPT is used to extract feature vectors from representative statistical characteristics in the decomposition frequency band, and then the KPCA in the feature space is performed to reduce the dimension of features and to extract the dominant features for the following classification. Finally, a novel support vector machine, called twin support vector machine is used to construct a multi-class classifier. Inputting superior features to this classifier, the condition of the monitored machine component can be determined. Experimental results demonstrate that the proposed hybrid method is effective for multi-fault detection of rotating machinery. The TWSVM is also indicated that has better classification performance and faster convergence speed than the normal SVM.
authors.affiliation: School of Aeronautice & Astronautics, Sichuan University, Chengdu, Sichuan 610065, PR China. Electronic address: lzw1682007@126.com.
authors.forename: Zhiwen
authors.initials: Z
authors.lastname: Liu
authors.affiliation: School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China.
authors.forename: Wei
authors.initials: W
authors.lastname: Guo
authors.affiliation: Aeronautics and Astronautics Engineering Institute, Air Force Engineering University, Xi'an 710038, PR China.
authors.forename: Jinhai
authors.initials: J
authors.lastname: Hu
authors.affiliation: Shenyang Aeroengine Research Institute, Shenyang 110015, China.
authors.forename: Wensheng
authors.initials: W
authors.lastname: Ma
keywords: Kernel principal component analysis; Multi-fault detection; Redundant second generation wavelet package transform; Rotating machinery; Twin support vector machine