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MOHAMED KHALIL: AN INTELLIGENT SYSTEM FOR CONDITION ASSESSMENT OF POWER TRANSFORMERS
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MOHAMED KHALIL: AN INTELLIGENT SYSTEM FOR CONDITION ASSESSMENT OF POWER TRANSFORMERS
This article from the special edition deals with utilising fuzzy logic to mimic the behaviour of an oil transformer expert in an intelligent system, to assess the condition of power transformers based on oil quality and DGA results.
Health index (HI) approach has been adopted widely as a tool that assists the asset managers to prioritise their plans and actions. However, the conventional computation of HI, which is based on scoring and ranking, has several drawbacks. In this work, the fuzzy logic approach is utilised to build up an intelligent HI system to assess the condition of power transformers based on oil quality and DGA results.
Keywords: fuzzy logic, health index, power transformers, predictive maintenance
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