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Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique
Joint Authors
Mharakurwa, Edwell Tafara
Nyakoe, G. N.
Akumu, A. O.
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Decision making on transformer insulation condition based on the evaluated incipient faults and aging stresses has been the norm for many asset managers.
Despite being the extensively applied methodology in power transformer incipient fault detection, solely dissolved gas analysis (DGA) techniques cannot quantify the detected fault severity.
Fault severity is the core property in transformer maintenance rankings.
This paper presents a fuzzy logic methodology in determining transformer faults and severity through use of energy of fault formation of the evolved gasses during transformer faulting event.
Additionally, the energy of fault formation is a temperature-dependent factor for all the associated evolved gases.
Instead of using the energy-weighted DGA, the calculated total energy of related incipient fault is used for severity determination.
Severity of faults detected by fuzzy logic-based key gas method is evaluated through the use of collected data from several in-service and faulty transformers.
DGA results of oil samples drawn from transformers of different specifications and age are used to validate the model.
Model results show that correctly detecting fault type and its severity determination based on total energy released during faults can enhance decision-making in prioritizing maintenance of faulty transformers.
American Psychological Association (APA)
Mharakurwa, Edwell Tafara& Nyakoe, G. N.& Akumu, A. O.. 2019. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
Modern Language Association (MLA)
Mharakurwa, Edwell Tafara…[et al.]. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
American Medical Association (AMA)
Mharakurwa, Edwell Tafara& Nyakoe, G. N.& Akumu, A. O.. Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1173904
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173904