Research on mechanical fault prediction algorithm for circuit breaker based on sliding time window and ANN

IEICE Transactions on Electronics

Volumn E91-C, Issue 8, 2008, Pages 1299-1305

  Wang, Xiaohua ^a   Rong, Mingzhe ^a   Qtu, Juan ^a   Liu, Dingxin ^a   Su, Biao ^a   Wu, Yi ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

ANN (artificial neural network); Mechanical fault prediction; Sliding time window; Vacuum circuit breaker

Indexed keywords

ELECTRIC CIRCUIT BREAKERS; ELECTRIC FAULT CURRENTS; FAULT DETECTION; FORECASTING; NEURAL NETWORKS; TIMING CIRCUITS;

ANN (ARTIFICIAL NEURAL NETWORK); DISPLACEMENT SENSOR; MECHANICAL FAULTS; ONLINE MONITORING; OPERATION MECHANISM; RESEARCH RESULTS; SLIDING TIME WINDOWS; VACUUM CIRCUIT BREAKER;

DEEP NEURAL NETWORKS;

EID: 77953511317     PISSN: 09168524     EISSN: 17451353     Source Type: Journal    
DOI: 10.1093/ietele/e91-c.8.1299     Document Type: Article

References (11)

1. R.J. Cao and N.H. Gu, Operation Condition of High Voltage AC Circuit Breaker, Beijing University of Technology Press, Beijing, 1999.
2. X.H. Wang, Study of Online Recognition Method for Mechanical Condition of Vacuum Circuit Breaker, Ph.D., Dissertation, Xi'an Jiaotong University, 2006.
3. K. Mladen, Z.F. Ren, L. Goran, D.R. Sevcik, J.S. Lucey, W.E. Cook, and E.A. Koch, "Automated monitoring and analysis of circuit breaker operation," IEEE Trans. Power Deliv., vol.20, no.3, pp.1910-1918, July 2005.
4. P.S.D. Kayano, M.S. Silva, L.C. Magrini, Y.P. Calderon, J.A. Jardini, and F.E.C. Veiga, "Distribution substation transformer and circuit breaker diagnoses with the assistance of real-time monitoring,"IEEE/PES Transmission & Distribution Conference & Exposition, pp. 185-189, Latin America, 2004.
5. X.H. Wang, M.Z. Rong, Y. Wu, F. Yang, and S.L. Jia, "Analyses of mechanical characteristics of vacuum circuit breaker during the closing process taking electrodynamic force into account," IET Proc. Science, Measurement and Technology, vol.1, no.6, pp.323-328, 2007.
6. M.Z. Rong, X.H. Wang, W. Yang, and S.L. Jia, "Mechanical condition recognition of medium-voltage vacuum circuit breaker based on mechanism dynamic features simulation and ANN," IEEE Trans. Power Deliv., vol.20, no.3, pp.1904-1909, 2005.
7. B. Stephen, S.M. Strachan, S.D.J. McArthur, J.R. McDonald, and K. Hamilton, "Design of trip current monitoring system for circuit breaker condition assessment," IET Generation, Transmission, Distribution, vol.1, no.1, pp.89-95, Jan. 2007.
8. Y. Wu, M.Z. Rong, and D.G. Chen, "Study on ANN based adaptive prediction of online parameter of electric device," Transactions of China Electro-Technical Society, vol.17, no.6, pp.72-77, 2002.
9. S.J. Hsieh, "Artificial neural networks and statistical modeling for electronic stress prediction using thermal profiling," IEEE Trans. Electron. Packag. Manuf., vol.27, no.1, pp.49-58, 2004.
10. A.G. Bahbah and A.A. Girgis, "New method for generators' angles and angular velocities prediction for transient stability assessment of multimachine power systems using recurrent artificial neural network," IEEE Trans. Power Deliv., vol.19, no.2, pp.1015-1022, 2004.
11. X.B. Yan, Z. Wang, S.H. Yu, and YJ. Li, "Time series forecasting with RBF neural network," Proc. 2005 International Conference on Machine Learning and Cyernetics, vol.8, pp.4680-4683, IEEE, 2005.