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March 29, 20261 citations

A Predictive Maintenance Concept for LVDC Power Electronics-Based Circuit Breakers Using Artificial Intelligence

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DLDong LiuDBDimitris BarosAMAkshay Mahajan

Key Points

  • To develop a predictive maintenance concept for LVDC power electronics-based circuit breakers using artificial intelligence.
  • Utilized artificial intelligence algorithms for predicting failures.
  • Analyzed various power electronics circuit breaker performance data.
  • Developed a predictive maintenance framework for monitoring circuit status.
  • Achieved a significant reduction in unexpected circuit failures.
  • Enhanced reliability through improved prediction accuracy of maintenance needs.
  • Demonstrated that AI can effectively monitor and maintain circuit breaker operations.

Abstract

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/69c8c0b0de0f0f753b39b808https://doi.org/10.30420/566541377
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Studies on applications of Artificial Intelligence in medium and high voltage circuit breakers2024
  2. 2High Voltage Circuit Breaker Fault Detection Using Vibration and Acoustic Signals Analysis and Machine Learning2026
  3. 3Research on mechanical life prediction algorithm of circuit breaker based on LSTM2025
  4. 4Mechanical characteristic failure analysis and intelligent diagnosis method of filter bank circuit breakers in UHVDC projects2026
  5. 5System Level Modelling, Evaluation, and Trade-Off/Optimization of Solid-State & Hybrid DC Circuit Breakers for an EV Eco-System Using AI/ML in an MBSE Framework2024 · 2 citations