Wavelet Neural Network Based on Modified PSO and Its Application in Fault Diagnosis of Gearboz

摘要：

A modified particle swarm optimization -- compound model PSO with stochastic inertia weigh is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to the fault diagnosis experiment of gearbox. The experimental result indicates that the wavelet neural-network training method based on the modified PSO is effective. This is an available approach to solve the problems on condition monitoring and fault diagnosis.

关键词： PSO wavelet neural network gearboz

作者: LIU Ying LIU Jie HUANG Fu Feng Ying PAN Hongxia

作者单位: Key Laboratory of High Speed Cutting &Precision Machining(Tianjin University of Technology and Educa Handling Equipment Mechanical Department, Academy of Military Transportation, Tianjin, China, 300161 College of Foreign Language,Tianjin University of Technology and Education, Tianjin, China, 300222 College of Mechanical Engineering & Automatization, North University of China, Taiyuan, Shanxi, Chin

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1647-1650

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）