Application Research on Fault Diagnosis System of Mine Rotating Machinery Based on ANN

摘要：

This paper improves the basic LMBP algorithm with numerical analysis method and brings it into the mine rotating machinery fault diagnosis system. Compared with the basic algorithm, the improved algorithm can ameliorates the training speed and diagnosis reliability. On this basis, we introduce the designation scheme of data collection board based on ARM and VxWorks and the operation interface based on Borland C++ Builder summarily; and take the hydraulic station of one rotating machinery of Xin-ji company as the research object to carry through the spot simulations in the lab. The simulated results indicate that the stability of hardware, the training speed of ANN and the diagnosis capacities are good.

关键词： rotating machinery LMBP square root method

作者: Xu Wenshang Yu Qingming Zhang Feng Sun Yanliang

作者单位: ICEE Shan Dong University of Science and Technology,Qingdao 266510 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）