Presentation 2004/10/15
Mechanical Condition Monitoring of Vacuum Circuit Breakers Using Artificial Neural Network(Session 5 : Contactactors & Circuit Breakers)
Yongpeng Meng, Shenli Jia, Mingzhe Rong,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The vibration signature collected on the framework of the vacuum circuit breaker is decomposed into individual frequency bands using the algorithm of wavelet packets. Main signal energy in these bands is extracted to form the condition eigenvectors. For specific condition classification, the concept of credibility is introduced in this paper. A new recognition algorithm based on the Radial Basis Function (RBF) neural network is proposed and applied to the monitoring of vacuum circuit breakers. Multiple experiments under different conditions verify that the new algorithm can recognize not only the known conditions but also a new condition of the breakers.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Vibration signature / Wavelet packets / Credibility / Neural network / Vacuum circuit breaker
Paper # EMD2004-72
Date of Issue

Conference Information
Committee EMD
Conference Date 2004/10/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Electromechanical Devices (EMD)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mechanical Condition Monitoring of Vacuum Circuit Breakers Using Artificial Neural Network(Session 5 : Contactactors & Circuit Breakers)
Sub Title (in English)
Keyword(1) Vibration signature
Keyword(2) Wavelet packets
Keyword(3) Credibility
Keyword(4) Neural network
Keyword(5) Vacuum circuit breaker
1st Author's Name Yongpeng Meng
1st Author's Affiliation State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University()
2nd Author's Name Shenli Jia
2nd Author's Affiliation State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University
3rd Author's Name Mingzhe Rong
3rd Author's Affiliation State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University
Date 2004/10/15
Paper # EMD2004-72
Volume (vol) vol.104
Number (no) 356
Page pp.pp.-
#Pages 6
Date of Issue