Engine Ggearbox Fault Diagnosis Using Modified Elman Neural Network and ACO Algorithm

摘要：

　　Analyzed the shortcomings of Elman network, the paper put forward a modified Elman network, combined Ant Colony Optimization (ACO) algorithm to train the modified Elman network, and implement trained NN (Neural Network) to fault diagnosis of engine gearbox.Using conventional frequency domain analysis method, modified Elman network fault diagnosis of the gearbox was carried out.The results proved that fault diagnosis of engine gearbox based on the modified Elman neural network and ACO has better precision and diagnoses gearbox effectively, which imp roves the effectiveness and quality of the diagnosis.

关键词： Neural network Engine gearbox Fault diagnosis Modified Elman neural network Ant Colony Optimization (ACO)

作者: Haichao WU Song chong zhi

作者单位: College of Power Engineering,Nanjing Institute of Railway Technology Nanjing,Jangsu,China,210015 School of Mechanical Engineering Anhui University of Technology Maanshan,Anhui China,243002

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 982-986

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）