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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)
A. Mancuso, M. Compare, A. Salo, E. Zio, Optimal
Prognostics and Health Management-driven inspection and maintenance
strategies for industrial systems, Reliability Engineering & System
Safety, Volume 210, 2021, 107536, ISSN 0951-8320,
https://doi.org/10.1016/j.ress.2021.107536.
(https://www.sciencedirect.com/science/article/pii/S0951832021000946)
Mohamed Marei, Shirine El Zaatari, Weidong
Li, Transfer learning enabled convolutional neural networks for estimating
health state of cutting tools, Robotics and Computer-Integrated
Manufacturing, Volume 71, 2021,
102145, ISSN 0736-5845,
https://doi.org/10.1016/j.rcim.2021.102145.
(https://www.sciencedirect.com/science/article/pii/S0736584521000302)
Francesca Iacono, Jorge Lo Presti, Irene
Schimperna, Sara Ferretti, Andrea Mezzadra, Lalo Magni, Chiara Toffanin,
Improvement of manufacturing technologies
through a modelling approach: an air-steam sterilization case-study, Procedia
Computer Science, Volume 180, 2021, Pages 162-171, ISSN 1877-0509,
https://doi.org/10.1016/j.procs.2021.01.357.
(https://www.sciencedirect.com/science/article/pii/S1877050921004336)
Yang Hu, Xuewen Miao, Jun Zhang, Jie Liu,
Ershun Pan, Reinforcement learning-driven maintenance strategy: A novel
solution for long-term aircraft maintenance decision optimization, Computers
& Industrial Engineering,
Volume 153, 2021, 107056, ISSN 0360-8352,
https://doi.org/10.1016/j.cie.2020.107056.
(https://www.sciencedirect.com/science/article/pii/S0360835220307269)
Jian Zuo, Hong Lv, Daming Zhou, Qiong Xue,
Liming Jin, Wei Zhou, Daijun Yang, Cunman Zhang, Deep learning based
prognostic framework towards proton exchange membrane fuel cell for
automotive application, Applied Energy, Volume 281, 2021, 115937, ISSN
0306-2619,
https://doi.org/10.1016/j.apenergy.2020.115937.
(https://www.sciencedirect.com/science/article/pii/S0306261920313957)
Jin-zhen Kong, Fangfang Yang, Xi Zhang,
Ershun Pan, Zhike Peng, Dong Wang, Voltage-temperature health feature
extraction to improve prognostics and health management of lithium-ion
batteries, Energy, Volume 223,
2021, 120114, ISSN 0360-5442,
https://doi.org/10.1016/j.energy.2021.120114.
(https://www.sciencedirect.com/science/article/pii/S0360544221003637)
Jin-Young Kim, Sung-Bae Cho, A deep neural
network ensemble of multimodal signals for classifying excavator operations, Neurocomputing,
2021, ISSN 0925-2312
https://doi.org/10.1016/j.neucom.2020.01.127.
(https://www.sciencedirect.com/science/article/pii/S0925231221001478)
Guanji Xu, Dongming Hou, Hongyuan Qi, Lin
Bo, High-speed train wheel set bearing fault diagnosis and prognostics: A new
prognostic model based on extendable useful life, Mechanical Systems and
Signal Processing, Volume 146, 2021, 107050, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2020.107050.
(https://www.sciencedirect.com/science/article/pii/S0888327020304362)
Peng Ding, Minping Jia, Xiaoan Yan, Stationary
subspaces-vector autoregressive with exogenous terms methodology for
degradation trend estimation of rolling and slewing bearings, Mechanical
Systems and Signal Processing, Volume 150, 2021, 107293, ISSN 0888-3270,
https://doi.org/10.1016/j.ymssp.2020.107293.
(https://www.sciencedirect.com/science/article/pii/S0888327020306798)
Jinsong Yu, Yue Song, Diyin Tang, Jing
Dai, A Digital Twin approach based on nonparametric Bayesian network for
complex system health monitoring, Journal of Manufacturing Systems, Volume
58, Part B, 2021, Pages 293-304, ISSN 0278-6125,
https://doi.org/10.1016/j.jmsy.2020.07.005.
(https://www.sciencedirect.com/science/article/pii/S0278612520301151)
Hongmin Zhu, Real-Time Prognostics of
Engineered Systems under Time Varying External Conditions Based on the COX
PHM and VARX Hybrid Approach, Sensors 2021, Volume 21, No. 5, 1712,
https://doi.org/10.3390/s21051712
Nicholas Cartocci, Marcello R. Napolitano,
Gabriele Costante and Mario L. Fravolini, A Comprehensive Case Study of
Data-Driven Methods for Robust Aircraft Sensor Fault Isolation, Sensors 2021,
Volume 21, No. 5, 1645,
https://doi.org/10.3390/s21051645
Nur-A- Alam, Mominul Ahsan, Md. Abdul
Based,Julfikar Haider and Marcin Kowalski, COVID-19 Detection from Chest
X-ray Images Using Feature Fusion and Deep Learning, Sensors 2021, Volume 21,
No. 4, 1480,
https://doi.org/10.3390/s21041480
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