Multi‐DGAS: A pattern based educational framework design for power transformers faults interpretation and comparative performance analysis

Multi‐DGAS: A pattern based educational framework design for power transformers faults... INTRODUCTIONThe power transformers are the most critical components of power system whose failures have significant impacts on electrical systems reliability, as they compromise the electricity delivery . Such failures may result in heavy economic consequences due to the cost of property damage, repairs, and the costs source from transmission service interruption . For reducing failure rates of these assets, power utilities have long been applying two separate maintenance activities known as time‐based maintenance (TBM) scheme and condition based maintenance (CBM) models . TBM maintenance scheme needs regular intervals for detecting faults even regular inspections happen to be unnecessary. In TBM model, detecting of faults may take long periods of maintenance . CBM method is based on transformer health status, modifying the maintenance schedule, reducing possible potential failures and their corresponding costs. In CBM method, the actual condition of the asset is regarded as the reference. It is only in the event of a decrease in performance or an imminent failure that the CBM method requires the usage of maintenance action . The dissolved gas in oil analysis (DGA) is among the most powerful tools employed in the analysis of the CBM model . The status of the transformer and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computer Applications in Engineering Education Wiley

Multi‐DGAS: A pattern based educational framework design for power transformers faults interpretation and comparative performance analysis

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
© 2018 Wiley Periodicals, Inc.
ISSN
1061-3773
eISSN
1099-0542
D.O.I.
10.1002/cae.21872
Publisher site
See Article on Publisher Site

Abstract

INTRODUCTIONThe power transformers are the most critical components of power system whose failures have significant impacts on electrical systems reliability, as they compromise the electricity delivery . Such failures may result in heavy economic consequences due to the cost of property damage, repairs, and the costs source from transmission service interruption . For reducing failure rates of these assets, power utilities have long been applying two separate maintenance activities known as time‐based maintenance (TBM) scheme and condition based maintenance (CBM) models . TBM maintenance scheme needs regular intervals for detecting faults even regular inspections happen to be unnecessary. In TBM model, detecting of faults may take long periods of maintenance . CBM method is based on transformer health status, modifying the maintenance schedule, reducing possible potential failures and their corresponding costs. In CBM method, the actual condition of the asset is regarded as the reference. It is only in the event of a decrease in performance or an imminent failure that the CBM method requires the usage of maintenance action . The dissolved gas in oil analysis (DGA) is among the most powerful tools employed in the analysis of the CBM model . The status of the transformer and

Journal

Computer Applications in Engineering EducationWiley

Published: Jan 1, 2018

Keywords: ; ; ; ;

References

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