A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty

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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 logoORCID: https://orcid.org/0000-0002-8653-6011, Catterson, Victoria M. ORCID logoORCID: https://orcid.org/0000-0003-3455-803X, Abdulhadi, Ibrahim F. ORCID logoORCID: https://orcid.org/0000-0002-3657-8379 and Segovia Garcia, Maria ORCID logoORCID: https://orcid.org/0000-0002-9210-3175;
  • Item type:Article
    ID code:60271
    Dates:
    Date
    Event
    12 April 2017
    Published
    12 April 2017
    Published Online
    16 March 2017
    Accepted
    Notes:© 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:16 Dec 2024 06:07
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/60271
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