Volume 9 Number 4 (Apr. 2014)
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JCP 2014 Vol.9(4): 956-965 ISSN: 1796-203X
doi: 10.4304/jcp.9.4.956-965

OWA Operator-Based Fuzzy Comprehensive Assessment Of Transformer Condition

Liping Shi, Hongxia Xie
School of Information and Electrical Engineering China University of Mining and Technology, Xuzhou, Jiangsu, China

Abstract—The indicators system and indicators normalization method for the condition assessment of Transformer is developed and membership function of the indicators is established. The establishment of Expert Weight is decided jointly by subjective weight and objective weight which is based on entropy weight thoughts, while the indicators weight is gained by the weight which is derived from the standard Analytic Hierarchy Process and the expert weight. A comprehensive condition assessment model of transformer based on OWA(Ordered Weighted Averaging) operator and fuzzy assessment is proposed and divided into two layers, fuzzy polymerization is adopted for the second layer sub-indicators to get the fuzzy membership of the first layer main indicators, while OWA operator polymerized with the final comprehensive condition assessment of the transformer is adopted for the main indicators of the first layer. In order to fully consider the impact of indicators weight and membership on the condition assessment result, a fuzzy polymerization conversion function based on OWA operator is introduced in the model, so as to integrate the attribute information from various important information sources. Case analysis indicates that the condition assessment of transformer can be carried out by this method; the reasonable and objective conclusion is close to the true condition of transformer.

Index Terms—condition assessment; OWA Ooperator; fuzzy sets; entropy

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Cite: Liping Shi, Hongxia Xie, "OWA Operator-Based Fuzzy Comprehensive Assessment Of Transformer Condition," Journal of Computers vol. 9, no. 4, pp. 956-965, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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