Extracting distribution network fault semantic labels from free text incident tickets
Stephen, Bruce and Jiang, Xu and McArthur, Stephen D. J. (2019) Extracting distribution network fault semantic labels from free text incident tickets. IEEE Transactions on Power Delivery. ISSN 0885-8977 (https://doi.org/10.1109/TPWRD.2019.2947784)
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Abstract
Increased monitoring of distribution networks and power system assets present utilities with new opportunities to predict and forestall system failures. Although automated pattern recognition methodologies have given other industries significant advantage, power system operators face additional challenges before these can be realized. The effort of apportioning ground truth to fault data creates a knowledge bottleneck that can make utilizing automatic classification techniques impossible. Surrogate approaches using operational process outputs such as maintenance tickets as labels can be challenging owing to the causal ambiguity of these written records. To approach a solution, this paper demonstrates utilizing natural language processing techniques to disambiguate the free text in maintenance tickets for onward use in supervised learning of fault prediction and classification techniques. A demonstration of this approach on an established power quality fault data set is provided for illustration.
ORCID iDs
Stephen, Bruce ORCID: https://orcid.org/0000-0001-7502-8129, Jiang, Xu ORCID: https://orcid.org/0000-0001-9123-9911 and McArthur, Stephen D. J. ORCID: https://orcid.org/0000-0003-1312-8874;-
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Item type: Article ID code: 70199 Dates: DateEvent16 October 2019Published16 October 2019Published Online10 October 2019AcceptedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 21 Oct 2019 13:37 Last modified: 11 Nov 2024 12:28 URI: https://strathprints.strath.ac.uk/id/eprint/70199