Faults Diagnosis of Air Compressor Based on RBF Neural Network

摘要：

This article with the compressor export pressure lead low and lead high is main faults premonition, uses pressure sensor to collect data as fault premonition to build up the relation with faults and premonitions. According to carry on classification and code for data, the fault diagnosis models of air compressor based on RBF neural network is built up, and training the fault diagnosis models. The results of diagnosis shows that it is very close with the calculate output of the RBF neural network and the hope output for patterns, and it is very effective for the fault diagnosis of air compressor based on RBF neural network.

关键词： RBF neural network faults diagnosis air compressor

作者: ZHANG Qiang CHENG PeiYuan YANG WeiQun NIU TianLin

作者单位: Department of Missile Launch Engineering, Missile Institute, Air Force Engineering University, Xian, 713800

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）