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ÀÛ¼ºÀÏ 2018-09-28 Á¶È¸¼ö 2758
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[PHM News Letter] SSS ƯÁýÈ£(PHMAP 17 ¹ßÇ¥³í¹®)

SSS ƯÁýÈ£(PHMAP17 ¹ßÇ¥³í¹®)


- Shin, I., Lee, J., Lee, J., Jung, K., Kwon, D.*, Youn, B.*, Jang, H.*, Choi, J.*, ¡°A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems,¡± International Journal of Precision Engineering and Manufacturing – Green Technology, vol. 5(4), pp. 547-566, 2018.

- Shin, I., and Kwon, D.*, ¡°Lifetime Prediction of Optocouplers in Digital Input and Output Modules based on Bayesian tracking approaches,¡± Smart Structures and Systems, vol. 22(2), pp. 167-174, 2018.

- Lee, C., Kwon, D.*, ¡°A Similarity Based Prognostics Approach for Real Time Health Management of Electronics using Impedance Analysis and SVM Regression,¡± Microelectronics Reliability, vol. 83, pp. 77-83, 2018.

¡¤  Wavelet-like convolutional neural network structure for time-series data classificationSeungtae Park, Haedong Jeong, Hyungcheol Min, Hojin Lee and Seungchul Lee

Abstract; Full Text (1384K)

pages 175-183.

DOI: 10.12989/sss.2018.22.2.175

 

¡¤  Failure prediction of a motor-driven gearbox in a pulverizer under external noise and disturbanceJungho Park, Byungjoo Jeon, Jongmin Park, Jinshi Cui, Myungyon Kim and Byeng D. Youn

Abstract; Full Text (1497K)

pages 185-192.

DOI: 10.12989/sss.2018.22.2.185

 

¡¤  Reliability analysis for fatigue damage of railway welded bogies using Bayesian update based inspectionFang-Jun Zuo, Yan-Feng Li and Hong-Zhong Huang

Abstract; Full Text (1043K)

pages 193-200.

DOI: 10.12989/sss.2018.22.2.193

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