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References

1 
C. W. Park, Y. G. Lee, et al., “Development of smart EOCR system technology with AI-based fault prediction and improved power quality function for MCC,” Ministry of SMEs and Startups, Final Report, pp. 1∼91, 2024. 6.URL
2 
C. W. Park, K. M. Lee, “Test Report,” GWNU, pp. 1-14, 2024. 6.URL
3 
C. W. Park, Y. K. Lee, et al., “Comparison of Status Classification Technique for Smart EOCR using Data Mining,” 2024 KIEE Summer Conf., KO022, 2024. 7.URL
4 
S. H. Lee, “‘Equipment predictive maintenance technology’, the core of smart factories,” Instrumentation Technology, pp. 124-129, 2017. 11.URL
5 
Y. J. Go, “A Study on Electrical Faults Verification and Diagnosis of Three-phase Induction motor,” Chonnam National University, Ph.D's Thesis, pp. 1-165, 2016. 8.URL
6 
J. Y. Seo, et al., “Development of the System Controller for Multi Functional Motor Protection,” 2016 Korea Information and Communication Society Fall Conference, pp. 830-832, 2016. 10.URL
7 
K. D. Kim, “A Study on the Fault Diagnosis and Predictive Maintenance of Three-phase Induction Motor using Electrical Signal Analysis,” Seoul National University of Science and Technology, Master's Thesis, pp. 1-116, 2022. 2.URL
8 
M. Rezaee, et al., “Kalman filter based sensor fault detection and identification in an electro-pump system,” 2017 5th International Conference on Control, Instrumentation, and Automation, pp. 12-17, 2017.DOI
9 
S. Bundasak, P. Wittayasirikul, “Predictive maintenance using AI for Motor health prediction system,” 2022 International Electrical Engineering Congress, pp. 1-4, 2022, 5.DOI
10 
L. Zhao, H. Sun, “Motor Fault Diagnosis Based on D-S Evidence Theory Information Fusion Algorithm,” 2024 ICICACS, pp. 1-7, 2024.DOI
11 
P. Zitha, B. A. Thango, “On the Study of Induction Motor Fault Identification using Support Vector Machine Algorithms,” 2023 SAUPEC Conference, Johannesburg, South Africa, January 2023.DOI
12 
F. M. Siraj, J. Uddin, K. Choi, et al., “Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset,” IEEE Access, vol. 12, pp. 50986-50997, April 2024.DOI