Study on fault diagnosis of power transformer based on similarity measures between vague sets

Author

Danping Gu ; Zhaohui Pang ; Fan Zhang ; Yunfeng Wang

Author_Institution

Hunan Inst. of Technol., Hengyang, China

Volume

6

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

2880

Lastpage

2883

Abstract

The fault diagnosis method of power transformer based on similarity measures between vague sets is discussed. The similarity measures between Vague Sets is combined with transformer fault diagnose problem. The gas concentrations dissolved oil is used as failure symptoms, based on the knowledge sample, counted the analogical degree between the diagnosing fault swatch of Vague Set and system fault knowledge of Vague Set, so as to diagnose and arrange the faults. Through practical transformer fault diagnosis, the rationality and accuracy in the power transformer based on similarity measures between vague sets is elaborated and verified.

Keywords

fault diagnosis; power transformers; set theory; failure symptoms; fault diagnosis; gas concentration; power transformer; vague sets; Discharges; Fault diagnosis; Gases; Partial discharges; Power measurement; Power transformers; Vague Set; fault diagnosis; similarity measures; transformer;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023703

Filename

6023703