|
Newsletter 13호 국내외 최신 대표 논문
N. Omri, Z. Al
Masry, N. Mairot, S. Giampiccolo, N. Zerhouni, Towards an adapted PHM
approach: Data quality requirements methodology for fault detection
applications, Computers in Industry, Volume 127, 2021, 103414,
ISSN 0166-3615,
https://doi.org/10.1016/j.compind.2021.103414.
(https://www.sciencedirect.com/science/article/pii/S016636152100021X)
Andrés
M. Vélez-Pereira, Concepción De Linares, Jordina Belmonte, Aerobiological
modeling I: A review of predictive models, Science of The Total Environment, Volume
795, 2021, 148783, ISSN 0048-9697,
https://doi.org/10.1016/j.scitotenv.2021.148783.
(https://www.sciencedirect.com/science/article/pii/S0048969721038559)
Michael Candon,
Oleg Levinski, Hideaki Ogawa, Robert Carrese, Pier Marzocca, A nonlinear
signal processing framework for rapid identification and diagnosis of
structural freeplay, Mechanical Systems and Signal Processing, Volume 163, 2022,
107999, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.107999.
(https://www.sciencedirect.com/science/article/pii/S0888327021003940)
Kun Zhang, Peng
Chen, Miaorui Yang, Liuyang Song, Yonggang Xu, The Harmogram: A periodic
impulses detection method and its application in bearing fault diagnosis, Mechanical
Systems and Signal Processing, Volume 165, 2022, 108374, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108374.
(https://www.sciencedirect.com/science/article/pii/S0888327021007287)
Yunhong Che,
Zhongwei Deng, Penghua Li, Xiaolin Tang, Kavian Khosravinia, Xianke Lin,
Xiaosong Hu, State of health prognostics for series battery packs: A
universal deep learning method, Energy, Volume 238, Part B, 2022, 121857, ISSN
0360-5442,
https://doi.org/10.1016/j.energy.2021.121857.
(https://www.sciencedirect.com/science/article/pii/S0360544221021058)
Yuekai Liu,
Liang Guo, Hongli Gao, Zhichao You, Yunguang Ye, Bin Zhang, Machine vision
based condition monitoring and fault diagnosis of machine tools using
information from machined surface texture: A review,
Mechanical
Systems and Signal Processing, Volume 164, 2022, 108068, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108068.
(https://www.sciencedirect.com/science/article/pii/S088832702100457X)
Xin Yang, Yan
Ran, Genbao Zhang, Hongwei Wang, Zongyi Mu, Shengguang Zhi, A digital
twin-driven hybrid approach for the prediction of performance degradation in
transmission unit of CNC machine tool, Robotics and Computer-Integrated
Manufacturing, Volume 73, 2022, 102230, ISSN 0736-5845,
https://doi.org/10.1016/j.rcim.2021.102230.
(https://www.sciencedirect.com/science/article/pii/S0736584521001125)
Yonghao Miao,
Boyao Zhang, Jing Lin, Ming Zhao, Hanyang Liu, Zongyang Liu, Hao Li, A review
on the application of blind deconvolution in machinery fault diagnosis, Mechanical
Systems and Signal Processing, Volume 163, 2022, 108202, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108202.
(https://www.sciencedirect.com/science/article/pii/S088832702100577X)
Lerui Chen,
Jianfu Cao, Kui Wu, Zerui Zhang, Application of Generalized Frequency
Response Functions and Improved Convolutional Neural Network to Fault
Diagnosis of Heavy-duty Industrial Robot, Robotics and Computer-Integrated
Manufacturing, Volume 73, 2022, 102228, ISSN 0736-5845,
https://doi.org/10.1016/j.rcim.2021.102228.
(https://www.sciencedirect.com/science/article/pii/S0736584521001101)
Lucas C. Brito,
Gian Antonio Susto, Jorge N. Brito, Marcus A.V. Duarte, An explainable
artificial intelligence approach for unsupervised fault detection and
diagnosis in rotating machinery, Mechanical Systems and Signal Processing, Volume
163, 2022, 108105, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108105.
(https://www.sciencedirect.com/science/article/pii/S0888327021004891)
Kun Zhang, Peng
Chen, Miaorui Yang, Liuyang Song, Yonggang Xu, The Harmogram: A periodic
impulses detection method and its application in bearing fault diagnosis, Mechanical
Systems and Signal Processing,
Volume 165, 2022,
108374, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108374.
(https://www.sciencedirect.com/science/article/pii/S0888327021007287)
Shaowei Liu,
Hongkai Jiang, Zhenghong Wu, Xingqiu Li, Data synthesis using deep feature
enhanced generative adversarial networks for rolling bearing imbalanced fault
diagnosis, Mechanical Systems and Signal Processing,
Volume 163, 2022,
108139, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108139.
(https://www.sciencedirect.com/science/article/pii/S0888327021005197)
Di Zhang,
Canbing Li, Mohammad Shahidehpour, Qiuwei Wu, Bin Zhou, Cong Zhang, Wentao
Huang, A bi-level machine learning method for fault diagnosis of oil-immersed
transformers with feature explainability, International Journal of Electrical
Power & Energy Systems, Volume 134, 2022, 107356, ISSN 0142-0615,
https://doi.org/10.1016/j.ijepes.2021.107356.
(https://www.sciencedirect.com/science/article/pii/S0142061521005950)
Mohammad Reza
Shadi, Mohammad-Taghi Ameli, Sasan Azad, A real-time hierarchical framework
for fault detection, classification, and location in power systems using PMUs
data and deep learning, International Journal of Electrical Power &
Energy Systems, Volume 134, 2022, 107399, ISSN 0142-0615,
https://doi.org/10.1016/j.ijepes.2021.107399.
(https://www.sciencedirect.com/science/article/pii/S0142061521006384)
Francesco
Cadini, Luca Lomazzi, Marc Ferrater Roca, Claudio Sbarufatti, Marco Giglio, Neutralization
of temperature effects in damage diagnosis of MDOF systems by combinations of
autoencoders and particle filters, Mechanical Systems and Signal Processing, Volume
162, 2022, 108048, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2021.108048.
(https://www.sciencedirect.com/science/article/pii/S0888327021004386)
|
