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Application of statistical distribution models to predict health index for condition-based management of transformers

In this study, statistical distribution model (SDM) is used to predict the health index (HI) of transformers by utilizing the condition parameters data from dissolved gas analysis (DGA), oil quality analysis (OQA), and furanic compound analysis (FCA), respectively. First, the individual condition pa...

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Bibliographic Details
Main Authors: Azis, Norhafiz, Mohd Selva, Amran, Shariffudin, Nor Shafiqin, Yahaya, Muhammad Sharil, Ab Kadir, Mohd Zainal Abidin, Jasni, Jasronita, Talib, Mohd Aizam
Format: Article
Language:English
Published: MDPI AG 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25944/2/APPLICATION%20OF%20STATISTICAL%20DISTRIBUTION%20MODELS%20TO%20PREDICT%20HEALTH%20INDEX%20FOR%20CONDITION-BASED%20MANAGEMENT%20OF%20TRANSFORMERS.PDF
http://eprints.utem.edu.my/id/eprint/25944/
https://www.mdpi.com/2076-3417/11/6/2728
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http://eprints.utem.edu.my/id/eprint/25944/2/APPLICATION%20OF%20STATISTICAL%20DISTRIBUTION%20MODELS%20TO%20PREDICT%20HEALTH%20INDEX%20FOR%20CONDITION-BASED%20MANAGEMENT%20OF%20TRANSFORMERS.PDF
http://eprints.utem.edu.my/id/eprint/25944/
https://www.mdpi.com/2076-3417/11/6/2728

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