Automated Electrical Equipment Health-Aware Reliability Assessment for Power Supply Systems
DOI:
https://doi.org/10.25729/esr.2026.02.0015Keywords:
Logic-probabilistic method, power supply system, electrical equipment, structural reliability, reliability block diagram, equipment health, probability of failure-free operationAbstract
This paper presents a methodological approach to assessing structural reliability of power supply systems by incorporating electrical equipment health via the logic-probabilistic method. The implementation of the proposed approach involves establishing specific rules for the construction of reliability block diagrams that capture logical interdependencies of components. Furthermore, a Python-based software tool is developed to automate the reliability assessment of power supply systems. The performance of the developed software was validated using operational data from a real-world 6(10)/0.4 kV power supply system. Specifically, the probability of failure-free operation and the failure probability were calculated based on the electrical equipment health data. To this end, a dedicated database was created to monitor how the thermal stress impacts the equipment service life depletion. The software calculates both the probability of failure-free operation and failure probability for a reliability block diagram based on a specified logical criterion. It also generates time-dependent probability curves of failure-free operation, highlighting the divergence between nominal and health-aware profiles for both the overall system and the specific electrical equipment.
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