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

References

1 
2025, The 10th Master Plan for long-term electricityGoogle Search
2 
Hong-Danh Thai, Jun-Ho Huh, 2024, A Survey of Electrical Fire Causes Assessment Technology, IEEE, pp. 145378-145392DOI
3 
G. Wang, W. Liao, 2002, Automatic identification of different types of welding defects in radiographic images, NDT&E Int., Vol. 35, pp. 519-528DOI
4 
M. Rafiei, J. Raitoharju, A. Iosifidis, 2023, Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey, IEEE Access, Vol. 11, pp. 2445-2477DOI
5 
D. Mery, 2015, Inspection of complex objects using multiple-X-ray views, IEEE/ASME Trans. Mechatronics, Vol. 20, No. 1, pp. 338-347DOI
6 
T. Hassan, S. Akcay, M. Bennamoun, S. Khan, N. Werghi, 2020, Cascaded structure tensor framework for robust identication of heavily occluded baggage items from X-ray scansGoogle Search
7 
Daejin Jeong, Heon Huh, 2024, Deep Learning-based X-ray Inspection for Battery Defect Detection, IIBC, Vol. 24, No. 2, pp. 147-153DOI
8 
Chienb-Kou Chang, 2020, Application of Fuzzy Entropy to Improve Feature Selection for Defect Recognition Using Support Vector Machine in High Voltage Cable Joints, IEEE Transactoins on Dielecrics and Electircal Insulation, Vol. 27DOI
9 
C. F. Mieritz, 2013, Cable Protection against Earth Potential Rise due to Lightning on a Nearby Tall ObjectGoogle Search
10 
2009, Cable Accessories, For 5kV-35kV Distribution SystemGoogle Search
11 
2020, Electronic Fuse Overcurrent Protection, IEEE Transactoins on Dielecrics and Electircal Insulation, Vol. 27DOI
12 
2001, IEEE Guide for the Application of Thyristor Surge Protective DevicesDOI
13 
E. Carl, 2001, IEEE Guide for the Application of Thyristor Surge Protective DevicesDOI
14 
M.L. Gasperi, 1996, Life prediction model for aluminum electrolytic capacitors, IEEEDOI
15 
Kazuyuki Lida, 2022, Capacitor Failures; The fifteen pracical case studies in various capacitor applicationGoogle Search
16 
L. Erik, Z. Chritoper, 2022, Industrial X-ray Image Analysis with Deep Neural Networks Robust to Unexpected Input Data, MDPI metalsDOI
17 
E. Calli, E. Sogancioglu, B. Van Ginneken, K. G. Van Leeuwen, K. Murphy, 2021, Deep learning for chest X-ray analysis: A survey, Med. Image Anal., Vol. 72DOI