Intelligent equipment fault diagnosis based on variation in piezoelectric impedance

被引：0
|
作者：
Rui, YN [1 ]
Liu, WJ [1 ]
Guo, XH [1 ]
机构：
[1] Suzhou Univ, Sch Mech & Elect Engn, Suzhou 215021, Peoples R China
来源：
2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2 | 2003年
关键词：
intelligent fault diagnosis; neural network; piezoelectric ceram; structure fault;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we use wavy signal generated by piezoelectric ceram combined with the control method of artificial neural network to diagnose intelligently equipment's running status. We proved the reliability of this method by having done some experiments on several common engineering structure faults.
引用
收藏
页码：43 / 46
页数：4
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