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Newsletter 10호 국내외 최신 대표 논문
Meraghni S,
Terrissa LS, Yue M, Ma J, Jemei S, Zerhouni N. A data-driven digital-twin
prognostics method for proton exchange membrane fuel cell remaining useful
life prediction. International Journal of Hydrogen Energy. 2020 Nov 6.
DOI: https://doi.org/10.1016/j.ijhydene.2020.10.108
Xu G, Hou D, Qi
H, Bo L. High-speed train wheel set bearing fault diagnosis and prognostics:
A new prognostic model based on extendable useful life. Mechanical Systems
and Signal Processing. 2021 Jan;146:107050.
DOI: https://doi.org/10.1016/j.ymssp.2020.107050
Oluwasegun A,
Jung JC. The application of machine learning for the prognostics and health
management of control element drive system. Nuclear Engineering and
Technology. 2020 Oct 1;52(10):2262-73.
DOI: https://doi.org/10.1016/j.net.2020.03.028
Ibrahim MS, Fan
J, Yung WK, Prisacaru A, van Driel W, Fan X, Zhang G. Machine Learning and
Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes. Laser
& Photonics Reviews. 2020 Oct 21:2000254.
DOI: https://doi.org/10.1002/lpor.202000254
Zhong J, Wang D,
Guo JE, Cabrera D, Li C. Theoretical Investigations on Kurtosis and Entropy
and Their Improvements for System Health Monitoring. IEEE Transactions on
Instrumentation and Measurement. 2020 Oct 14.
DOI: https://doi.org/10.1109/TIM.2020.3031125
Wang Y, Zhou J,
Zheng L, Gogu C. An end-to-end fault diagnostics method based on
convolutional neural network for rotating machinery with multiple case
studies. Journal of Intelligent Manufacturing. 2020 Oct 16:1-22.
DOI: https://doi.org/10.1007/s10845-020-01671-1
Akpudo UE, Hur
JW. Towards bearing failure prognostics: a practical comparison between
data-driven methods for industrial applications. Journal of Mechanical
Science and Technology. 2020 Oct;34(10):4161-72.
DOI: https://doi.org/10.1007/s12206-020-0908-7
Kim S, An D,
Choi JH. Diagnostics 101: A Tutorial for Fault Diagnostics of Rolling Element
Bearing Using Envelope Analysis in MATLAB. Applied Sciences. 2020 Oct;10(20):7302.
DOI: https://doi.org/10.3390/app10207302
Azamfar M, Singh
J, Bravo-Imaz I, Lee J. Multisensor data fusion for gearbox fault diagnosis
using 2-D convolutional neural network and motor current signature analysis.
Mechanical Systems and Signal Processing. 2020 Oct 1;144:106861.
DOI: https://doi.org/10.1016/j.ymssp.2020.106861
Chen Q,
Nicholson G, Roberts C, Ye J, Zhao Y. Improved Fault Diagnosis of Railway
Switch System Using Energy-based Thresholding Wavelets (EBTW) and Neural
Networks. IEEE Transactions on Instrumentation and Measurement. 2020 Oct 7.
DOI: https://doi.org/10.1109/TIM.2020.3029365
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