Picture of mobile phone running fintech app

Fintech: Open Access research exploring new frontiers in financial technology

Strathprints makes available Open Access scholarly outputs by the Department of Accounting & Finance at Strathclyde. Particular research specialisms include financial risk management and investment strategies.

The Department also hosts the Centre for Financial Regulation and Innovation (CeFRI), demonstrating research expertise in fintech and capital markets. It also aims to provide a strategic link between academia, policy-makers, regulators and other financial industry participants.

Explore all Strathclyde Open Access research...

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

Text (Unanue-TSMCS-2017-A-model-based-hybrid-approach-for-circuit-breaker-prognostics)
Accepted Author Manuscript

Download (1MB) | Preview


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.