Method for detecting system on power transformer winding deformation

Author

Ma Shaohua ; Ren He

Author_Institution

Instn. of Electr. Machines & Apparatus, Shenyang Univ. of Technol., Shenyang, China

fYear

2009

fDate

15-18 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

This paper presents a detecting system on power transformer winding deformation which can enhance the diagnostic accuracy to a large degree. The Impulse Frequency Response Analysis (IFRA) method is developed for generating frequency response analysis trace (FRA trace) and Support Vector Machine (SVM) algorithm is used for predicting the transformer winding deformation. Based on IFRA and SVM, the basic principle of detecting system is presented, the hardware is designed and the software is programmed. Finally, an experimental analysis for detecting transformer winding deformation is carried out to test the practicality of this detecting system.

Keywords

frequency response; power engineering computing; power transformer testing; support vector machines; transformer windings; FRA trace; IFRA method; SVM algorithm; detecting system; diagnostic accuracy; frequency response analysis trace; impulse frequency response analysis; power transformer winding deformation; support vector machine; Power transformers; Impulse Frequency Response Analysis (IFRA); Power transformer; Support Vector Machines (SVM); Winding deformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on

Conference_Location

Tokyo

Print_ISBN

978-1-4244-5177-7

Electronic_ISBN

978-4-88686-067-5

Type

conf

DOI

10.1109/ICEMS.2009.5382646

Filename

5382646