Fault Identification in Power Transformers Using Dissolve Gas Analysis and Support Vector Machine

Neural networks; Power transformers; Support vector machines; Artificial intelligence techniques; Cost of maintenance; Dissolved gas analyses (DGA); Fault identifications; Life span; Training and testing; Transformer faults; Dielectric materials

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Bibliographic Details
Main Authors: Illias H.A., Kai Choon C., Liang W.Z., Mokhlis H., Ariffin A.M., Fairouz Mohd Yousof M.
Other Authors: 26633053900
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Institution: Universiti Tenaga Nasional

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