Service life prediction method of relay protection device considering acceleration state and operation characteristics

Shaolin Jiao; Wei Liu; Tao Wen; Jia Zhu

doi:10.1117/12.3025498

28 February 2024 Service life prediction method of relay protection device considering acceleration state and operation characteristics

Shaolin Jiao, Wei Liu, Tao Wen, Jia Zhu

Author Affiliations +

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307109 (2024) https://doi.org/10.1117/12.3025498
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

In order to protect the safe and stable operation of relay protection devices and make them retire in the best years, a service life prediction method of relay protection devices considering acceleration state and operation characteristics is proposed. The service life prediction structure of relay protection device is established, and its service life is evaluated from the characteristics of the device itself. By running the degradation track of service life, the service life of relay protection device in the current state is grasped, and the service life prediction model considering acceleration state and operation characteristics is constructed, and the model is solved to realize the service life prediction. The experimental results show that the prediction results of this method have a high degree of fitting with the actual situation, and the service life of relay protection devices can be accurately predicted more reliably, which is reliable and feasible.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shaolin Jiao, Wei Liu, Tao Wen, and Jia Zhu "Service life prediction method of relay protection device considering acceleration state and operation characteristics", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307109 (28 February 2024); https://doi.org/10.1117/12.3025498

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