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

Jose Ignacio Aizpurua, Victoria M. Catterson, Ibrahim F. Abdulhadi, Maria Segovia Garcia

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.
LanguageEnglish
Pages1-12
Number of pages12
JournalIEEE Transactions on Systems Man and Cybernetics: Systems
Early online date12 Apr 2017
DOIs
Publication statusE-pub ahead of print - 12 Apr 2017

Fingerprint

Electric circuit breakers
Electric fault currents
Markov processes
Aging of materials
Scheduling
Wear of materials
Uncertainty

Keywords

  • prognostics
  • dynamic reliability
  • circuit breaker
  • uncertainty
  • hybrid model
  • physics of failure

Cite this

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title = "A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty",
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.",
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A model-based hybrid approach for circuit breaker prognostics encompassing dynamic reliability and uncertainty. / Aizpurua, Jose Ignacio; Catterson, Victoria M.; Abdulhadi, Ibrahim F.; Segovia Garcia, Maria.

In: IEEE Transactions on Systems Man and Cybernetics: Systems, 12.04.2017, p. 1-12.

Research output: Contribution to journalArticle

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