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Suggestion of Maintenance Criteria for Electric Railroad Facilities Based on Fuzzy TOPSIS

Sunwoo Hwang1, Joouk Kim1, Hagseoung Kim1, Hyungchul Kim2, Youngmin Kim3,*

1 Innovative Transportation and Logistics Research Center, Korea Railroad Research Institute, Uiwang, 16105, Korea
2 Smart Electrical & Signaling Division, Korea Railroad Research Institute, Uiwang, 16105, Korea
3 Department of Systems Engineering, Ajou University, Suwon, 16499, Korea

* Corresponding Author: Youngmin Kim. Email: pretty0 email

(This article belongs to this Special Issue: Analysis, Processing, and Applications of Fuzzy System and Deep Learning)

Computers, Materials & Continua 2022, 70(3), 5453-5466.


This paper is on the suggestion of maintenance items for electric railway facility systems. With the recent increase in the use of electric locomotives, the utilization and importance of railroad electrical facility systems are also increasing, but the railroad electrical facility system in Korea is rapidly aging. To solve this problem, various methodologies are applied to ensure operational reliability and stability for railroad electrical facility systems, but there is a lack of detailed evaluation criteria for railroad electrical facility system maintenance. Also, maintenance items must be selected in a scientific and systematic method. Therefore, railroad electrical facility systems are selected for study. Design Structure Matrix (DSM) is utilized to establish considerations tailored to the maintenance characteristics, and the Fuzzy-TOPSIS methodology is utilized for determining the maintenance detail evaluation item baseline weights, a multi-criteria decision-making problem. Studies show that degradation, insulation items have the highest weight of 14.63%, and capacity items have the lowest weight of 5.34%. The results of this may be contributed to the underlying research in carrying out maintenance activities to ensure the reliability and safety of railroad electrical facility systems.


Cite This Article

S. Hwang, J. Kim, H. Kim, H. Kim and Y. Kim, "Suggestion of maintenance criteria for electric railroad facilities based on fuzzy topsis," Computers, Materials & Continua, vol. 70, no.3, pp. 5453–5466, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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