Fault Diagnosis For Oil Immersed Transformer Using Certainty Factor

Traditional dissolved gas analysis (DGA) methods for incipient fault diagnosis of oil immersed power transformers often give contradictory results. Due to the increased availability of methods, and procedures for fault diagnosis a reliable method is needed to reach to a conclusion. Certainty Factor...

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Bibliographic Details
Published in:IEEE transactions on dielectrics and electrical insulation 2024-02, Vol.31 (1), p.1-1
Main Authors: Kaur, Kulraj, Bhalla, Deepika, Singh, Jashandeep
Format: Article
Language:English
Subjects:
Availability
Certainty factor
Combined certainty factor
Discharges (electric)
Dissolved gas analysis
Dissolved gases
Duval pentagon
Duval triangle
Fault diagnosis
Gas analysis
Gases
Graphical methods
IEC/IEEE method
Incipient faults
Key gas method
Knowledge bases (artificial intelligence)
Methods
Oil insulation
Oils
Partial discharges
Power transformer
Power transformer insulation
Transformers
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Summary:Traditional dissolved gas analysis (DGA) methods for incipient fault diagnosis of oil immersed power transformers often give contradictory results. Due to the increased availability of methods, and procedures for fault diagnosis a reliable method is needed to reach to a conclusion. Certainty Factor (CF) method gives promising results where the available knowledge base and techniques are unable to arrive at the same conclusion. In this work a traditional method based on a gas ratio method, two graphical methods and key gas method are applied to DGA samples. When the fault diagnosis by the traditional methods is contradictory, a computational method based on evidence and certainty factor (CF) is used. The combined certainty factor (CCF) is applied to the CF results incrementally for confirming fault type. There is a special provision for partial discharge type of fault. The proposed method is checked on samples used in literature where actual fault is known. The goal is to make available a reliable method that scientifically combines diagnosis of three traditional DGA methods and confirms with increased level of responsibility the diagnosis of the type of incipient fault. The proposed method may be used by utilities to reach a common consensus in case of contradictory diagnosis by traditional DGA methods.
ISSN:1070-9878
1558-4135
DOI:10.1109/TDEI.2023.3307513