Intelligent Vibration Signal Diagnostic System Using Artificial Neural Network

摘要：

In this paper artificial neural network (ANN) technologies and analytical models have been investigated and incorporated to increase the effectiveness and efficiency of machinery self diagnostic system.Several advanced vibration trending methods have been studied and used to quantify machine operating conditions.An on-line,multi-channel condition monitoring procedure has been developed and coded.The major technique used for self diagnostic is a modified ARTMAP neural network.The objective is to provide a rigid solution for condition-based intelligent self diagnostic system.

关键词： intelligent system self diagnostic artificial neural network vibration signals diagnostic fault diagnosis

作者: Chang-Ching Lin Shien-Chii Shieh

作者单位: Graduate Institute of Management Sciences Tamkang University Tamshui,Taipei County,Taiwan Department of Industrial Engineering and Management Tungnan University Shenkan,Taipei County,Taiwan

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 346-349

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）