Power Transformers Health Index Calculation Method Based on Cloud Model and Fuzzy Evidential Reasoning

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Abstract:

Transformers health index calculation method based on cloud model and fuzzy evidential reasoning is proposed. According to the multi-level and multifactor of evaluation index information of power transformers, a layered evaluation index model is established. In order to deal with the ambiguity and uncertainty information of evaluation index, a normal cloud model is introduced, inferred the fuzzy degree of belief in the health state of evaluation index. Then use the fuzzy evidential reasoning method merge information of evaluation Index, inferred the degree of belief in the health state-level of transformer, calculated the health index of transformer. The results of an example analysis test its rationality and effectiveness.

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Advanced Materials Research (Volumes 1070-1072)

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1021-1028

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHU Cheng-zhi, GUO Chuang-xin, SUN Min, et, al. Power transformer condition assessment based on improvement evidential reasoning[J]. High Voltage Engineering. 2008, 34(11): 2322-2337.

Google Scholar

[2] LI Xi-Gui, CHANG Yan, LUO Yun-Bai, et, al. Remnant Life Estimation of Power Transformer Based on Health Index[J]. High Voltage Apparatus. 2012, 48(12): 80-85.

Google Scholar

[3] JIANG Jiang, Ll Xuan. XING Li-ning, et al. System risk analysis and evaluation approach based on fuzzy evidential reasoning[J]. Systems Engineering-Theory & Practice, 2013, 33(2): 529-537.

Google Scholar

[4] Zadeh L A, Fuzzy logic[J]. Computer, 1988, 21(4): 83-9.

Google Scholar

[5] Yang J B, Wang Y M, Xu D L, et al. The evidential reasoning approach for MADA under probabilistic and fuzzy uncertainties[J] European Journal of Operational Researeh, 2006, 171(1): 309-343.

DOI: 10.1016/j.ejor.2004.09.017

Google Scholar

[6] IEC 60422—2005, Mineral insulating oils in electrical equipment supervision and maintenance guidance[S].

DOI: 10.3403/30081812u

Google Scholar

[7] Deren Li, Kai Chang Di, Deyi Li. Knowledge representation and uncertainty reasoning in GIS based on cloud models[C]. Beijing: The 9th International Symposium on Spatial Data Handling, 2000, (8): 10-12.

Google Scholar

[8] Yang J B, Wang Y M, Xu D L, Chin K S. The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties[J]. EurJOperRes, 2006, 17: 309-343.

DOI: 10.1016/j.ejor.2004.09.017

Google Scholar