DocumentCode
3089827
Title
Improved Technique for Fault Detection Sensitivity in Transformer Maintenance Test
Author
Al-Ammar, Essam ; Karady, George G. ; Hevia, Orlando P.
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
fYear
2007
fDate
24-28 June 2007
Firstpage
1
Lastpage
8
Abstract
Transformer windings might be shifted because of short-circuit current, aging or impact during transportation. The shift modifies the dielectric space between the layers of the windings and may cause an insulation breakdown. Since transformers are expensive to replace, it is vital that their condition are determined accurately without having to dismantle the apparatus to inspect it visually. Generally, transformers test is performed for maintenance purposes, by either low voltage impulse (LVI) test or frequency response analysis (SFRA) test. Both methods have been adopted within the industrial applications. Nonetheless, they have drawbacks, including limited frequencies range for LVI test and time-consuming measurements for SFRA test. To obtain better signature analysis and to increase the detection sensitivity in the transformer maintenance test, this paper suggests a new input signal using a random pulse sequence (RPS) in the transfer function analysis. The results of RPS test are compared against the LVI and SFRA tests to complete the assessments.
Keywords
fault location; frequency response; impulse testing; maintenance engineering; power transformer testing; transfer functions; transformer windings; LVI; RPS; SFRA; fault detection sensitivity; frequency response analysis; insulation breakdown; low voltage impulse test; random pulse sequence; short-circuit current; signature analysis; transfer function analysis; transformer maintenance test; transformer windings; Aging; Dielectric breakdown; Dielectrics and electrical insulation; Fault detection; Impulse testing; Performance evaluation; Power transformer insulation; Signal analysis; Transportation; Windings; EMTP; FFT; LVI; RPS; SFRA; faults; pulse; random; signature analysis; transfer function; transformer;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location
Tampa, FL
ISSN
1932-5517
Print_ISBN
1-4244-1296-X
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2007.385614
Filename
4275223
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