A Fault Classification Method of PSO Wavelet Neural Network

摘要：

Particle swarm optimization (PSO) algorithm is presented and used to optimize the parameters of wavelet neural-network. The PSO-trained wavelet neural-network is applied to the gear-box fault classification. The experimental result indicated that the wavelet neural-network based on PSO algorithm is an effective training algorithm, and meanwhile it is also an available approach to solve the pattern classification problems.

作者: Hongxia Pan Hongwei Mao Jinying Huang Zhenwang Liu

作者单位: School of Mechanical Engineering and Automatization North University of China Taiyuan,Shanxi 030051

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）