Application of Three-Ratio Fault Diagnosis Rule Based on Belief Rule Base

Article Preview

Abstract:

A transformer fault diagnosis method based on RIMER( belief rule-base inference methodology using the evidential reasoning approach) expert system is proposed to deal with fault coding loss and low accuracy in the three-ratio rule. The fault diagnosis method acquires the parameter of the belief rule bases from both three-ratio rule and training of the fault sample data, and then get the diagnosis result Based on the belief rule bases and evidence reasoning algorithm. The calculation speed of the method is fast. The simulation experiment indicates that the model improves the fault diagnosis accuracy rate, furthermore the distributed confidence result indicts the mixed fault more effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

418-422

Citation:

Online since:

March 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHAO Wenqing, et al. Transformer fault diagnosis based on multi-Agent. [J]. Electric Power Automation Equipment, 2011, 31(1) : 23-26(in Chinese).

Google Scholar

[2] DONG Xiucheng, TAO Jiagui, et al. Incremental algorithm of adaptive fuzzy support vector machine in transformer fault diagnosis [J]. Electric Power Automation Equipment, 2010, 30(11) : 48-51(in Chinese).

Google Scholar

[3] WANG Xue mei, LI Wen shen, YAN Zhang. Application study of BP net work used in the fault diagnosis of power transformer[J] . High Voltage Engineering, 2005, 31(7): 12-14(in Chinese).

Google Scholar

[4] YANG Ting fang, et al. New Fault Diagnosis Method of Power Transformer by Combination of FCM and IEC Three ratio Method[J] . High Volt age Engineering, 2007, 33(8) : 66-70(in Chinese).

Google Scholar

[5] Yang J B, Liu J, Wang J, et al Belief-rule-base inference methodology using the evidential reasoning Approach-RIMER [J]. IEEE Transaction on System, Man, and Cybernetics-Part A: Systems and Humans, 2006, 36( 2 ): 266- 285.

DOI: 10.1109/tsmca.2005.851270

Google Scholar

[6] ZHANG Wei, SHI Chang pu, HU Chang hua, ZHOU Zhi jie Fault Diagnosis of Engine Based on RIMER Expert System. System Simulation Technology, 2011, 7(1): 11: 15(in Chinese).

Google Scholar

[7] Yang J B, Liu J, et al Optimization models for training belief-rule-based systems [J]. IEEE Transaction on Systems, Man, and Cybernetics part A: Systems and Humans, 2005, 21( 4): 1- 28.

DOI: 10.1109/tsmca.2007.897606

Google Scholar