Comprehensive method detecting the status of the transformer based on the artificial intelligence

2004 International Conference on Power System Technology, POWERCON 2004

Volumn 2, Issue , 2004, Pages 1638-1643

  Fu, Yang ^a   Zhang, Liang ^b  

^a SHANGHAI UNIVERSITY OF ELECTRIC POWER   (China)

^b Shaoxing Power Company   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE; FAULT DIAGNOSIS; POWER DEVICES; POWER TRANSFORMERS;

DATABASE SYSTEMS; ELECTRIC POWER SYSTEMS; ELECTRIC TRANSFORMERS; EXPERT SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; NEURAL NETWORKS; OPTIMIZATION; POWER ELECTRONICS;

ARTIFICIAL INTELLIGENCE;

EID: 20444465698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Fu Yang, "A Neural Network Approach to Power Transformer Fault Diagnosis", ICEMS'2003, P351-354, 9-11 November 2003, Beijing, China.
2. Wang Zhenyuan, "A Combined ANN and Experts System Tool for Transformer Fault Diagnosis", IEEE Transactions on Power Delivery, vol. 13, no.4, October 1998.
3. Dong Ming, "An Improved Method for Transformer Fault Diagnosis Based on DGA", High voltage Engineering, vol.28, no.4, 2002.
4. Fu Yang, "Development of System for Power Transformer Fault Diagnosis and Management," Journal of Shanghai Institute of Electric Power vol.19, no.3, 2003.
5. Fu Yang, "A Neural Network Approach to Power Transformer Fault Diagnosis", Journal of Shanghai Institute of Electric Power, vol.14, no.4, 1998.
6. Xu Feng, "The Research of Power Transformer Fault Diagnosis", Doctor Paper of Southeast University 1996.
7. Li Hong Xing. "Fuzzy Mathematics", Publishing House of National Defence Industry, 1994.