Health status indicator system and evaluation method for expressway electromechanical equipment

Mingchen Gu; Yongyan Gao; Jiangfeng Wang; Chongkai Qi

doi:10.1117/12.3014754

4 March 2024 Health status indicator system and evaluation method for expressway electromechanical equipment

Mingchen Gu, Yongyan Gao, Jiangfeng Wang, Chongkai Qi

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814I (2024) https://doi.org/10.1117/12.3014754
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

In recent years, with the increasing scale and types of expressway electromechanical equipment, the operating status of these devices has become a key factor in the dynamic management of expressway traffic. To address the health status of these operating devices, this study constructs a health indicator system for expressway electromechanical equipment and proposes a fuzzy statistical evaluation method based on hierarchical indicator weighting. The method was evaluated and analyzed using the actual operating history data of the electromechanical equipment on the Zibo section of the Qingyin Expressway (G20). This research provides a technical reference for the precise and scientific management of the operating status of expressway electromechanical equipment.

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

Citation Download Citation

Mingchen Gu, Yongyan Gao, Jiangfeng Wang, and Chongkai Qi "Health status indicator system and evaluation method for expressway electromechanical equipment", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814I (4 March 2024); https://doi.org/10.1117/12.3014754

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