A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty
Aizpurua, Jose Ignacio and Catterson, Victoria M. and Abdulhadi, Ibrahim F. and Segovia Garcia, Maria (2017) A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty. IEEE Transactions on Systems, Man and, Cybernetics: Systems. pp. 1-12. ISSN 2168-2216 (https://doi.org/10.1109/TSMC.2017.2685346)
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Abstract
Prognostics predictions estimate the remaining useful life of assets. This information enables the implementation of condition-based maintenance strategies by scheduling intervention when failure is imminent. Circuit breakers are key assets for the correct operation of the power network, fulfilling both a protection and a network reconfiguration role. Certain breakers will perform switching on a deterministic schedule, while operating stochastically in response to network faults. Both types of operation increase wear on the main contact, with high fault currents leading to more rapid ageing. This paper presents a hybrid approach for prognostics of circuit breakers, which integrates deterministic and stochastic operation through Piecewise Deterministic Markov Processes. The main contributions of this paper are (i) the integration of hybrid prognostics models with dynamic reliability concepts for a more accurate remaining useful life forecasting and (ii) the uncertain failure threshold modelling to integrate and propagate uncertain failure evaluation levels in the prognostics estimation process. Results show the effect of dynamic operation conditions on prognostics predictions and confirm the potential for its use within a condition-based maintenance strategy.
ORCID iDs
Aizpurua, Jose Ignacio ORCID: https://orcid.org/0000-0002-8653-6011, Catterson, Victoria M. ORCID: https://orcid.org/0000-0003-3455-803X, Abdulhadi, Ibrahim F. ORCID: https://orcid.org/0000-0002-3657-8379 and Segovia Garcia, Maria ORCID: https://orcid.org/0000-0002-9210-3175;-
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Item type: Article ID code: 60271 Dates: DateEvent12 April 2017Published12 April 2017Published Online16 March 2017AcceptedNotes: © 2017 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: 24 Mar 2017 09:37 Last modified: 15 Nov 2024 01:08 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/60271