An AC Contactor Remaining Useful Life Prediction Method based on Degradation Event Analysis

Abstract

Predicting the remaining useful life of equipment is crucial to ensure safe operations and is widely used in various industries. Data-driven methods for remaining useful life prediction are efficient and scalable, and have garnered significant attention from researchers. However, existing studies often lack comprehensive analysis of equipment degradation data, resulting in low accuracy and reliance on large sample sizes. AC contactors are extensively used in power systems and industrial settings, but their complex structure and operation make traditional maintenance methods impractical. To address these challenges, we propose a novel method for predicting the remaining useful life of AC contactor equipment. Our approach estimates remaining useful life by assessing the impact of degradation events on equipment’s life loss value. By constructing a degradation index, extracting relevant degradation events, matching them to reference events, and estimating remaining useful life, we accurately predict the remaining life of AC contactors. Extensive comparative experiments demonstrate the effectiveness of our proposed method.