[1] Zhou Jianhua, Hu Minqiang, Tang Guoqing,. Hologamous integrating strategiesfor incipient fault diagnosis of transformer [J]. Journal of Southeast University (English Edition), 2004, 20 (4): 503-507. [doi:10.3969/j.issn.1003-7985.2004.04.022]

Copy

Hologamous integrating strategiesfor incipient fault diagnosis of transformer()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

20

Issue:

2004 4

Page:

503-507

Research Field:

Electrical Engineering

Publishing date:

2004-12-30

Info

Title:

Hologamous integrating strategiesfor incipient fault diagnosis of transformer

Author(s):

Zhou Jianhua;  Hu Minqiang;  Tang Guoqing

Department of Electrical Engineering, Southeast University, Nanjing 210096, China

Keywords:

integrating;  hologamous system;  fault diagnosis;  power transformer

PACS:

TM41

DOI:

10.3969/j.issn.1003-7985.2004.04.022

Abstract:

This paper studies an integrative fault diagnostic system on the power transformer. On-line monitor items are grounded current of iron core, internal partial discharge and oil dissolved gas. Diagnostic techniques are simple rule-based judgment, fuzzy logistic reasoning and neural network distinguishing. Considering that much faults information is interactional, intellectualized diagnosis is implemented based on integrating the neural network with the expert system. Hologamous integrating strategies are materialized by information-based integrating monitor devices, shared information database on several levels and fusion diagnosis software along thought patterns. The expert system practices logic thought by logistic reasoning. The neural network realizes image thought by model matching. Creative conclusion is educed by their integrating. The diagnosis example shows that the integrative diagnostic system is reasonable and practical.

References:

[1] Kan Hisao, Miyamoto Teruo. Proposals for an improvement in transformers diagnosis using dissolved gas analysis(DGA)[J]. IEEE Trans on Electrical Insulation Magazine, 1995, 11(6): 15-21.
[2] Farag A S, Shewhdi M H, Jin X, et al. On-line partial discharge calibration and monitoring for power transformers [J]. Electric Power Systems Research, 1999, 50(1): 47-54.
[3] Zhou Jianhua, Hu Minqiang. A database-based diagnostic expert system of transformer’s faults [J]. Journal of Southeast University(Natural Science Edition), 1998, 28(6): 68-73.(in Chinese)
[4] Mazroua A A, Bartnikas R, Salama M M A. Discrimination between PD pulse shapes using different neural network paradigms [J]. IEEE Trans on Dielectrics and Electrical Insulation, 1994, 1(6): 1119-1131.
[5] Zhou Jianhua, Hu Minqiang, Zhou E. On the application of CP-BP algorithm for DGA-NN diagnosis in power transformer [J]. Proceedings of the CSEE, 1999, 19(3): 41-45.(in Chinese)
[6] Kang P, Birtwhistle D. Condition monitoring of power transformer on-load tap-changers, part 1: automatic condition diagnostics [J]. IEE Proceedings of Generation, Transmission and Distribution, 2001, 148(4): 301-306.
[7] Zhou Jianhua, Hu Minqiang, Zhou E. Integrating ES with ANN in fault diagnosis based on thinking-pattern [J]. Transactions of China Electrotechnical Society, 1999, 12(2): 1-4.(in Chinese)
[8] Qian Zheng, Yan Zhang, Luo Chengmu. A study on synthetic diagnosis method for insulation of power transformers [J]. Power System Technology, 2002, 26(2): 32-36.(in Chinese)

Memo

Memo:

Biographies: Zhou Jianhua(1968—), male, doctor, associate professor, zjhmax@seu.edu.cn; Hu Minqiang(1961—), male, doctor, professor, mqhu@seu.edu.cn.

Common functions