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[PHM News Letter vol.11] PHM °ü·Ã ±¹³»¿Ü ÃֽŠ´ëÇ¥ ³í¹®

Newsletter 11È£ ±¹³»¿Ü ÃֽŠ´ëÇ¥ ³í¹®

 

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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