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author:

Xie, Song (Xie, Song.) [1] | Zou, Yang (Zou, Yang.) [2] (Scholars:邹阳) | Cai, Jinding (Cai, Jinding.) [3]

Indexed by:

EI Scopus PKU CSCD

Abstract:

Recovery voltage method (RVM) is to study insulation aging status of power transformer. Based on a lot of test data of recovery voltage, the fuzzy rough set theory is proposed and used to assess the oil paper insulation status of transformer. And the assessment system of oil paper insulation of transformer is constructed. Firstly, the evaluation index of oil-paper insulation status of transformer is identified based on recovery voltage feature parameters. Secondly, the membership function of fuzzy partitioning feature parameters for transformer test data is obtained by using FCM clustering algorithm. Then, the fuzzy attributes are reduced for the assessment table of oil paper insulation statue in accordance with the discernibility matrix, and the assessment rules of oil-paper insulation status are extracted. Finally, the assessment system of oil-paper insulation status is built based on the historical database. The experiments demonstrate that the assessment system is effective and feasible which provides a new solution for the assessment of transformer oil-paper insulation status. This work is of practical value in actual engineering applications. © 2017, Science Press. All right reserved.

Keyword:

Clustering algorithms Electric transformer testing Insulation Membership functions Oil filled transformers Paper Parameter estimation Power transformers Recovery Rough set theory

Community:

  • [ 1 ] [Xie, Song]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zou, Yang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Cai, Jinding]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 邹阳

    [zou, yang]college of electrical engineering and automation, fuzhou university, fuzhou; 350108, china

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Source :

Chinese Journal of Scientific Instrument

ISSN: 0254-3087

CN: 11-2179/TH

Year: 2017

Issue: 1

Volume: 38

Page: 190-197

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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