KIEE
The Transactions of
the Korean Institute of Electrical Engineers
KIEE
Contact
Open Access
Monthly
ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
http://www.tkiee.org/kiee
Mobile QR Code
The Transactions of the Korean Institute of Electrical Engineers
ISO Journal Title
Trans. Korean. Inst. Elect. Eng.
Main Menu
Main Menu
최근호
Current Issue
저널소개
About Journal
논문집
Journal Archive
편집위원회
Editorial Board
윤리강령
Ethics Code
논문투고안내
Instructions to Authors
연락처
Contact Info
논문투고·심사
Submission & Review
Journal Search
Home
Archive
2024-01
(Vol.73 No.01)
10.5370/KIEE.2024.73.1.97
Journal XML
XML
PDF
INFO
REF
References
1
Y. E. Zhongming, W. U. Bin, 2000, A Review on Induction Motor Online Fault Diagnosis, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No. 00EX435)., Vol. 3
2
Subhasis Nandi, Hamid A. Toliyat, 1999, Fault Diagnosis of Electrical Machines - A Review, IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. no. 99EX272)
3
B. Michael Aucoin, Robert H. Jones, 1996, High Impedance Fault Detection Implementation Issues, IEEE Transactions on Power Delivery, Vol. 11, No. 1, pp. 139-148
4
Yadong Xu, 2022, Global Contextual Residual Convolutional Neural Networks for Motor Fault Diagnosis under Variable-Speed Conditions, Reliability Engineering & System Safety, Vol. 225, pp. 108618
5
Abdelelah Almounajjed, 2022, Fault Diagnosis and Investigation Techniques for Induction Motor, International Journal of Ambient Energy, Vol. 43.1, pp. 6341-6361
6
S. Ruzza, 2008, Fast-responding Over Current Detector Circuit in High Voltage Technology for Motor Drive Applications, 2008 34th Annual Conference of IEEE Industrial Electronics
7
Ji-Hoon Han, Sang-Uk Park, Sun-Ki Hong, 2022, A Study on the Effectiveness of Current Data in Motor Mechanical Fault Diagnosis Using XAI, Journal of Electrical Engineering & Technology, Vol. 17.6, pp. 3329-3335
8
Bo Li, 2000, Neural-Network-Based Motor Rolling Bearing Fault Diagnosis, IEEE Transactions on Industrial Electronics, Vol. 47, No. 5, pp. 1060-1069
9
R. C. Turner, 1994, Materials for High Temperature Acoustic and Vibration Sensors: A Review, Applied Acoustics, Vol. 41, No. 4, pp. 299-324
10
Subhasis Nandi, Hamid A. Toliyat, Xiaodong Li, 2005, Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review, IEEE Transactions on Energy Conversion, Vol. 20, No. 4, pp. 719-729
11
K. Yahia, 2014, Induction Motors Airgap-Eccentricity Detection Through the Discrete Wavelet Transform of the Apparent Power Signal Under Non-Stationary Operating Conditions, ISA Transactions, Vol. 53, No. 2, pp. 603-611
12
Long Wen, Liang Gao, Xinyu Li, 2017, A New Deep Transfer Learning Based on Sparse Auto-encoder for Fault Diagnosis, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, No. 1, pp. 136-144
13
Junhai Zhai, 2018, Autoencoder and its Various Variants, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
14
Changqing Zhang, Yeqing Liu, Huazhu Fu, 2019, Ae2-nets: Autoencoder in Autoencoder Networks, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
15
2007, TMS320F2833x, TMS320F2823x Digital Signal Controllers (DSCs), Standard
16
Juan Dixon, Matias Rodriguez, Rodrigo Huerta, 2002, Position Estimator and Simplified Current Control Strategy for Brushless-DC Motors, Using DSP Technology, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02., Vol. 1
17
M. Reidla, O. Martens, R. Land, 2012, TMS320F28335-Based High-Accuracy Complex Network Analyzer Instrument, 2012 5th European DSP Education and Research Conference (EDERC)
18
Yinpeng Chen, 2020, Dynamic Relu, European Conference on Computer Vision
19
Ji-Hoon Han, 2019, Motor Fault Diagnosis Using CNN Based Deep Learning Algorithm Considering Motor Rotating Speed, 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA)