DocumentCode
1536805
Title
Off/on-line FRA condition monitoring technique for power transformer
Author
Birlasekaran, S. ; Fetherston, Fred
Author_Institution
Dept. of Electr. & Comput. Eng., Newcastle Univ., NSW, Australia
Volume
19
Issue
8
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
54
Lastpage
56
Abstract
This letter presents a novel and sensitive frequency response analysis (FRA) technique for off/on-line condition monitoring of expensive power apparatus. The main objective is to investigate the applicability of this predictive maintenance technique to diagnosing power transformer failures, to characterize the transformer in a frequency plane for safe operation, and to develop on-line monitoring technique. The effectiveness of this technique is demonstrated on a 2.5 MVA transformer housed at the High Voltage Laboratory of Pacific Power International (PPI) and then tested on three field transformers. The on-line technique is verified on a single-phase high voltage transformer. This study shows that FRA results are very sensitive to faults. The configuration of the measurement set up, frequency range and terminations play a greater role in getting reproducible, fault-indicating results. The interpretation of the voluminous data and analysis relevant to the faults opens a gateway to develop smart power apparatus
Keywords
condition monitoring; fault location; frequency response; maintenance engineering; power transformer testing; 2.5 MVA; High Voltage Laboratory; Pacific Power International; fault detection; fault-indicating results; frequency range; frequency response analysis; measurement set up; off-line condition monitoring; on-line condition monitoring; power transformer failures analysis; predictive maintenance technique; single-phase high voltage transformer; smart power apparatus; terminations; voluminous data; Condition monitoring; Data analysis; Frequency measurement; Frequency response; Laboratories; Power transformers; Predictive maintenance; Testing; US Department of Transportation; Voltage transformers;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/39.780991
Filename
780991
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