• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
H. Lee, "Design of a maintenance support system based on fault prediction and health management technology for key components of railway vehicles," pp. 5069-5073, 2016. Google Search
2 
H. Jung, M. Park, "A study on big data-based machine learning techniques for fault diagnosis of wheels and axle bearings," Journal of the Korea Academia-Industrial Cooperation Society, vol. 19, no. 1, pp. 75-84, 2018. Google Search
3 
Kyeong Ho Lee, Joong Yoon Lee, Yeong Min Kim, "A study on the maintenance data analysis of vehicle parts of Yongin light rail and condition-based prediction maintenance," Journal of the Korean Society of Systems Engineering, vol. 18, no. 1, pp. 1-13, 2022. Google Search
4 
S. Ha, S. Jang, W. Yoo, "Development of a preventive maintenance system for urban railway vehicles," Journal of the Korean Institute of Industrial Management Systems, vol. 30, no. 1, pp. 1-7, 2007. Google Search
5 
Cornelius Scheffer, Paresh Girdhar, "Practical machinery vibration analysis and predictive maintenance," Elsevier, 2004. Google Search
6 
https://edition.cnn.com/2023/02/05/us/east-palestine-ohio-train-derailment-fire-sunday, "Evacuations ordered amid fears of an explosion as an Ohio train continues burning days after derailment," 2023. Google Search
7 
G. Choi, "[Ministry of Land, Infrastructure and Transport] Development of core technologies for condition-based smart maintenance Final report," National Library of Korea Linked Data, vol. 5, 2018. Google Search
8 
TiC Co., Ltd. and KTM Engineering Co., Ltd., "Development of localization technology for axle bearings of railway vehicles compliant with EN12080, final report for the Ministry of Land, Infrastructure and Transport," National Library of Korea Linked Data, vol. 1, 2019. Google Search
9 
AG, FAG Kugelfischer, Publ. No. WL 82.102 : 2, "Rolling Bearing Damage Recognition of damage and bearing inspection," 2003. Google Search
10 
SKF, CARB, INSOCOAT and SKF Explorer are registered trademarks of AB SKF, "Bearing damage and failure ananlysis," 2025. Google Search
11 
Chenyu Liu, Konstantinos Gryllias, "Simulation-driven domain adaptation for rolling element bearing fault diagnosis," IEEE Transactions on Industrial Informatics, vol. 18, no. 9, pp. 5760-5770, 2021. Google Search
12 
Jongmin Park, "Fault frequency band segmentation and domain adaptation with fault simulated signal for fault diagnosis of rolling element bearings," Journal of Computational Design and Engineering, vol. 12, no. 1, pp. 34-52, 2025. Google Search
13 
R. Keith Mobley, "Vibration fundamentals," Elsevier, 1999. Google Search
14 
Tianyang Wang, "Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis," Mechanical Systems and Signal Processing, vol. 45, no. 1, pp. 139-153, 2014. DOI
15 
Robert B. Randall, Jerome Antoni, "Rolling element bearing diagnostics—A tutorial," Mechanical systems and signal processing, vol. 25, no. 2, pp. 485-520, 2011. DOI
16 
Paula J. Dempsey, Gary Kreider, Thomas Fichter, No. NASA/TM-2006-214380, "Tapered roller bearing damage detection using decision fusion analysis," 2006. Google Search
17 
TIMKEN, https://cad.timken.com/item/tapered-roller-bearings---tdo-tapered-double-outer/tapered-roller-bearings---tdo--tapered-double-oute/hm127446-hm127415xd, "Part Number HM127446 - HM127415XD, Tapered Roller Bearings - TDO (Tapered Double Outer) Imperial," Google Search