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access icon openaccess Case-based power transformer diagnose model using nonlinear mapping of oil chromatography

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 21/08/2018, Accepted 17/09/2018, Published 01/10/2018

In this study, a case-based diagnostic model of a power transformer for oil chromatography is proposed. A nonlinear normalised mapping method is proposed for achieving ideal distribution characteristics of oil chromatogram gas in the case base. A similarity degree algorithm is proposed to calculate the similarity degree in the target spatial domain between the case to be diagnosed and the cases in the case base. A threshold method is proposed to determine the number of similar cases. Also, a method for calculating the weight of the diagnosis result according to the case distribution in the case base is proposed. The diagnostic method proposed is used to deploy the diagnostic system on the Internet. Defeat diagnosis conclusions of two transformers by the method and system in this paper are consistent with the disintegration results. It can be concluded that the proposed method has important practical application value in engineering.

Inspec keywords: power transformer insulation; fault diagnosis; transformer oil; chromatography

Other keywords: case-based power transformer diagnose model; similarity degree algorithm; case-based diagnostic model; Internet; oil chromatography; nonlinear normalised mapping method; oil chromatogram gas; threshold method

Subjects: Organic insulation; Transformers and reactors

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