基于CFOA-MKHSVM的滚动轴承健康状态评估方法

Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm.[J].Xiaofang Yuan;Yuanming Liu;Yongzhong Xiang;Xinggang Yan.Applied Mathematics and Computation.2015,

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals.[J].Jaouher Ben Ali;Nader Fnaiech;Lotfi Saidi;Brigitte Chebel-Morello;Farhat Fnaiech.Applied Acoustics.2015,

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method.[J].Sheng Hong;Zheng Zhou;Enrico Zio;Kan Hong.Digital Signal Processing.2014,

Hybrid parallel chaos optimization algorithm with harmony search algorithm.[J].Xiaofang Yuan;Jingyi Zhao;Yimin Yang;Yaonan Wang.Applied Soft Computing Journal.2014,

A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm.[J].Keheng Zhu;Xigeng Song;Dongxin Xue.Measurement.2014,

Classification of fault location and the degree of performance degradation of a rolling bearing based on an improved hyper-sphere-structured multi-class support vector machine.[J].Yujing Wang;Shouqiang Kang;Yicheng Jiang;Guangxue Yang;Lixin Song;V.I. Mikulovich.Mechanical Systems and Signal Processing.2011,

Robust bearing performance degradation assessment method based on improved wavelet packet–support vector data description.[J].Yuna Pan;Jin Chen;Lei Guo.Mechanical Systems and Signal Processing.2008, 3

Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs.[J].Yaguo Lei;Zhengjia He;Yanyang Zi;Qiao Hu.Mechanical Systems and Signal Processing.2006, 5

Fault classification using genetic programming.[J].Liang Zhang;Asoke K. Nandi.Mechanical Systems and Signal Processing.2006, 3

Parameter identification of BIPT system using chaotic-enhanced fruit fly optimization algorithm.[J].Xiaofang Yuan;Yuanming Liu;Yongzhong Xiang;Xinggang Yan.Applied Mathematics and Computation.2015,

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals.[J].Jaouher Ben Ali;Nader Fnaiech;Lotfi Saidi;Brigitte Chebel-Morello;Farhat Fnaiech.Applied Acoustics.2015,

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method.[J].Sheng Hong;Zheng Zhou;Enrico Zio;Kan Hong.Digital Signal Processing.2014,

Hybrid parallel chaos optimization algorithm with harmony search algorithm.[J].Xiaofang Yuan;Jingyi Zhao;Yimin Yang;Yaonan Wang.Applied Soft Computing Journal.2014,

A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm.[J].Keheng Zhu;Xigeng Song;Dongxin Xue.Measurement.2014,

Classification of fault location and the degree of performance degradation of a rolling bearing based on an improved hyper-sphere-structured multi-class support vector machine.[J].Yujing Wang;Shouqiang Kang;Yicheng Jiang;Guangxue Yang;Lixin Song;V.I. Mikulovich.Mechanical Systems and Signal Processing.2011,

Robust bearing performance degradation assessment method based on improved wavelet packet–support vector data description.[J].Yuna Pan;Jin Chen;Lei Guo.Mechanical Systems and Signal Processing.2008, 3

Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs.[J].Yaguo Lei;Zhengjia He;Yanyang Zi;Qiao Hu.Mechanical Systems and Signal Processing.2006, 5

Fault classification using genetic programming.[J].Liang Zhang;Asoke K. Nandi.Mechanical Systems and Signal Processing.2006, 3