Studies of Synchronous Rotor Gear Monitoring Technique Based on Ant Colony Neural Network

摘要：

　　In this paper,the nonlinear mapping relationship between characteristic parameters of failures and failure types is realized by using neural network through extracting characteristic variables of failures during operation of the gear.Aiming at the problems of neutral network such as slow convergence speed and existence of local minima,the neural network is optimized and the ant colony neural network is established by using the ant colony algorithm to realize rapid and accurate determination of failure status of a gear from characteristic parameters of failures.In addition,validity of the established model is verified through experiments.

关键词： Ant colony neural network gear failure diagnosis optimization

作者: Yijun Chen Qinghai Zhao

作者单位: School of Printing & Packaging Engineering Xian University of Technology Shaanxi China;School of Me School of Printing & Packaging Engineering Xian University of Technology Shaanxi China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 382-386

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）