Review of Research on Remaining Useful Life Prediction of Relays Based on Deep Learning

doi:10.16628/j.cnki.2095-8188.2023.10.001

Abstract

Abstract:

Studying the reliability of individual relays is of great significance. Therefore, it is necessary to predict the lifespan of relays. Due to the excessive reliance of traditional prediction methods on the equipment domain knowledge, the deep learning is applied to the field of life prediction. Firstly, the storage failure mechanism of relays is summarized. Secondly, the current research status of relay remaining useful life prediction is introduced. Then, several common model methods and their characteristics of deep learning are analyzed. Finally, the application of deep learning in the remaining useful life prediction is prospected.

Key words: relay, reliability, life prediction, deep learning

CLC Number:

TM581

LI Shaofei, WANG Zhaobin, ZHANG Wenhang. Review of Research on Remaining Useful Life Prediction of Relays Based on Deep Learning[J]. LOW VOLTAGE APPARATUS, 2023, 0(10): 1-7.

Figures/Tables 5

References 38

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