Title :
Intelligent equipment fault diagnosis based on variation in piezoelectric impedance
Author :
Rui, Yannian ; Liu, Wenjie ; Guo, Xuhong
Author_Institution :
Sch. of Mech. & Electron. Eng., Suzhou Univ., China
Abstract :
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.
Keywords :
electric impedance measurement; fault diagnosis; intelligent materials; neural nets; piezoceramics; reliability; artificial neural networks; electric impedance measurements; engineering structure faults; intelligent equipment fault diagnosis; piezoelectric ceram; piezoelectric impedance; piezoelectric materials; reliability; wavy signals generation; Artificial intelligence; Artificial neural networks; Fault detection; Fault diagnosis; Force sensors; Frequency; Impedance; Intelligent networks; Signal generators; Vibrations;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1251917
