The application of neural network in the fault identification of transformers

Dianli Xitong Zidonghue/Automation of Electric Power Systems

Volumn 23, Issue 24, 1999, Pages 27-

  Li, Yongli ^a   Gu, Fuhai ^a   Liu, Zhihua ^a   Zhang, Xinghua ^a   He, Jiali ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Fault identification; Inrush current; Neural network; Transformer

Indexed keywords

EID: 0039171312     PISSN: 10001026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Sidhu T S, Sachdev M S. On-Line Identification of Magnetizing Inrush and Internal Faults in Three-Phase Transformer. IEEE Transactions on Power Delivery, 1992, 7(4)
2. Lin C E, Cheng C L, Huang C L, et al. Investigation of Magnetizing Inrush Current in Transformer. IEEE Transactions on Power Delivery, 1993, 8(1)
3. Lui Pei, Malik O P, Chen Deshu, et al. Improved Operation of Differential Protection of Power Transformers for Internal Faults. IEEE Transactions on Power Delivery, 1992, 7(4)
4. Perez L G, Flechsig A J, Meador J L, et al. Training Artificial Neural Network to Discriminate Between Magnetizing Inrush and Internal Faults. IEEE Transactions on Power Delivery, 1994, 9(1)
5. Lin C E, Ling J M, Huang C L. An Expert System for Transformer Fault Diagnosis Using Dissolved Gas Analysis. IEEE Transactions on Power Delivery, 1993, 8(1)