A Comprehensive Review of Electromagnetic Relay Remaining Useful Life Prediction Methods
This comprehensive review focuses on the technological advancements in predicting the remaining useful life(RUL)of electromagnetic relays,offering an insightful overview of the current research landscape.The existing methodologies for predicting the RUL of electromagnetic relays are systematically organized and contrasted.The application status and efficacy of various prediction techniques is delved into,including grey system models,statistical analysis,and neural networks.By examining recent scholarly articles,the review highlights the strengths and limitations of these diverse methods,emphasizing their role in enhancing the reliability of power systems.While each approach contributes to some extent in predicting the RUL of electromagnetic relays,significant variations persist in terms of accuracy,applicability,and user-friendliness.The future research direction is pointed that the hybrid models integrated multiple prediction technologies and the practical prediction systems incorporated real-time monitoring data are developed to augment the precision and applicability of RUL predictions.
electromagnetic relaysremaining useful life predictiongrey system modelstatistical analysisneural network
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