Insulating fault diagnosis of XLPE power cables using multi-parameter based on artificial neural networks

Lecture Notes in Computer Science

Volumn 3498, Issue III, 2005, Pages 609-615

  Chen, Xiaolin ^a   Cheng, Yonghong ^a   Zhu, Zhelei ^a   Yue, Bo ^b   Xie, Xiaojun ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DIELECTRIC LOSSES; ELECTRIC CABLES; ERROR ANALYSIS; FAULT TOLERANT COMPUTER SYSTEMS; ONLINE SYSTEMS;

INSULATING FAULT DIAGNOSIS; INSULATION RESISTANCE; ONLINE MONITORING; XLPE POWER CABLES;

NEURAL NETWORKS;

EID: 24944567697     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427469_97     Document Type: Conference Paper

References (4)

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2. Gish, N.B., Howson, P.A., Howlett, R.J.: Condition Diagnostics of a Physical Breakdown Mechanism in High Voltage Dielectrics Utilizing AI Evaluation Techniques. Fourth International Conference on knowledge-based Intelligent Engineering Systems & Allied Technologies, Brighton, Uk, (2000) 644-650
3. Gulski, E.: Computer-aided Recognition of Partial Discharges Using Statistical Tools. Delft University Press (1991)
4. Salama, M.M.A., Bartnikas, R.: Determination of Neural network Topology for Partial Discharge Pulse Pattern Recognition, IEEE Transactions on Neural Networks, 13 (2002) 446-456