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. ISBN 9781538629109 (https://doi.org/10.1109/UPEC.2018.8541931)
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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: DateEvent13 December 2018Published11 July 2018AcceptedNotes: © Copyright 2018 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies. I. Mitiche, G. Morison, A. Nesbitt, M. Hughes-Narborough, B. G. Stewart and P. Boreham, "Classification of Multiple Electromagnetic Interference Events in High-Voltage Power Plant," 2018 53rd International Universities Power Engineering Conference (UPEC), Glasgow, UK, 2018, pp. 1-4, doi: 10.1109/UPEC.2018.8541931 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: 11 Nov 2024 15:15 URI: https://strathprints.strath.ac.uk/id/eprint/65622