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The Transactions of
the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2019-05
(Vol.68 No.05)
10.5370/KIEE.2019.68.5.662
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References
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W. Sun, R. Zhao, R. Yan, S. Shao, X. Chen, 2017, Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis, IEEE Trans. on Industrial Informatics, Vol. 13, No. 3, pp. 1350-1359
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Dong-Jin Choi, Ji-Hoon Han, Hyeong-Seob Kim, M. Choi, C. Kwon, Sun-Ki Hong, Oct. 2018, Study on Motor Fault Diagnosis Considering Noise Disturbance Based on Machine Learning, KIEE EMECS Falling Conference, pp. 29-30
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Ji-Hoon Han, Dong-Jin Choi, Sun-Ki Hong, Mar. 2019, Study on Development of Deep Learning Fault Diagnosis Algorithm Considering Induction Motor Speed and Load Condition, Trans. on KIEE, Vol. 68, No. 3, pp. 1-7
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Long Wen, Xinyu Li, Liang Gao, Yuyan Zhang, 2018, A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method, IEEE Transactions on Industrial Electronics, Vol. 65, No. 7, pp. 5990-5996
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Karen Simonyan, Andrew Zisserman, 2015, 제목, Computer Vision and Pattern Recognition
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