Classification of multiple electromagnetic interference events in high voltage power plant
Mitiche, Imene and Morison, Gordon and Nesbitt, Alan and Hughes-Narborough, Michael and Stewart, Brian G. and Boreham, Philip; (2018) Classification of multiple electromagnetic interference events in high voltage power plant. In: 53rd International Universities Power Engineering Conference. IEEE, GBR. (In Press)
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Abstract
This paper addresses condition assessment of electrical assets contained in high voltage power plants. Our work introduces a novel analysis approach of multiple event signals related to faults, and which are measured using Electro-Magnetic Interference method. The proposed method transfers the expert’s knowledge on events presence in the signals to an intelligent system which could potentially be used for automatic EMI diagnosis. Cyclic spectrum analysis is used as feature extraction to efficiently extract the repetitive rate and the dynamic discharge level of the events, and multi-class support vector machine is adopted for their classification. This first and novel method achieved successful results which may have potential implications on developing a framework for automatic diagnosis tool of EMI events.
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Item type: Book Section ID code: 65622 Dates: DateEvent11 July 2018Published11 July 2018AcceptedKeywords: electrical condition assessment, electro-magnetic interference, partial discharge, expert system, pattern recognition, Electrical Engineering. Electronics Nuclear Engineering, Electrical and Electronic Engineering Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 03 Oct 2018 08:25 Last modified: 05 Feb 2023 02:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65622