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Rui Zheng, Seyedvahid Najafi, and Yingzhi Zhang, A recursive method for the health assessment of systems using the proportional hazards model, Reliability Engineering & System Safety, Volume 221, 2022, 108379, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108379. (https://www.sciencedirect.com/science/article/pii/S0951832022000564?via%3Dihub)
Matthew Russell, and Peng Wang, Physics-informed deep learning for signal compression and reconstruction of big data in industrial condition monitoring, Mechanical Systems and Signal Processing, Volume 168, 2022, 108709, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2021.108709. (https://www.sciencedirect.com/science/article/pii/S0888327021010293?via%3Dihub)
Michael Candon, Oleg Levinski, Hideaki Ogawa, Robert Carrese, and 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?via%3Dihub)
Izaz Raouf, Hyewon Lee, and Heung Soo Kim, Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach, Journal of computational design and engineering, Volume 9, 2022, pp. 417-433, ISSN 2288-5048, https://doi.org/10.1093/jcde/qwac015. (https://academic.oup.com/jcde/article/9/2/417/6537181?login=true)
Simon Zhai, Meltem Göksu Kandemir and Gunther Reinhart, Predictive maintenance integrated production scheduling by applying deep generative prognostics models: approach, formulation and solution, Production engineering : Research and development, Volume 16, 2022, pp. 65-88, ISSN 0944-6524, https://doi.org/10.1007/s11740-021-01064-0. (https://link.springer.com/article/10.1007/s11740-021-01064-0)
Enrico Zio, Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice, Reliability Engineering & System Safety, Volume 218, Part A, 2022, 108119, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2021.108119. (https://www.sciencedirect.com/science/article/pii/S0951832021006153?via%3Dihub)
Jiusi Zhang, Yuchen Jiang, Shimeng Wu, Xiang Li, Hao Luo, and Shen Yin, Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism, Reliability Engineering & System Safety, Volume 221, 2022, 108297, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2021.108297. (https://www.sciencedirect.com/science/article/pii/S0951832021007687?via%3Dihub)
Sunday Ochella, Mahmood Shafiee, and Fateme Dinmohammadi, Artificial intelligence in prognostics and health management of engineering systems, Engineering Applications of Artificial Intelligence, Volume 108, 2022, 104552, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2021.104552. (https://www.sciencedirect.com/science/article/pii/S0952197621003961?via%3Dihub)
Sha Wei, Dong Wang, Zhike Peng, and Zhipeng Feng, Variational nonlinear component decomposition for fault diagnosis of planetary gearboxes under variable speed conditions, Mechanical Systems and Signal Processing, Volume 162, 2022, 108016, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2021.108016. (https://www.sciencedirect.com/science/article/pii/S0888327021004118?via%3Dihub)
Naifeng Gan, Zhenyu Sun, Zhaosheng Zhang, Shiqi Xu, Peng Liu, and Zian Qin, Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles, IEEE transactions on power electronics, Volume 37, 2022, pp. 4575 - 4588, ISSN 0885-8993, https://doi.org/10.1109/TPEL.2021.3121701 (https://ieeexplore.ieee.org/document/9583917)
Debasish Jana, Jayant Patil, Sudheendra Herkal, Satish Nagarajaiah, and Leonardo Duenas-Osorio, CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction, Mechanical Systems and Signal Processing, Volume 169, 2022, 108723, ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2021.108723 (https://www.sciencedirect.com/science/article/pii/S0888327021010414?via%3Dihub)
Te Han, Taotao Zhou, Yongyong Xiang, and Dongxiang Jiang, Cross‐machine intelligent fault diagnosis of gearbox based on deep learning and parameter transfer, Structural Control and Health Monitoring, Volume. 29, 2022, pp. e2898, ISSN 1545-2255, https://doi.org/10.1002/stc.2898 (https://onlinelibrary.wiley.com/doi/10.1002/stc.2898)
Eyal Madar, Ofir Galiki, Renata Klein, Jacob Bortman, Jeremy Nickell, and Mathew Kirsch, A new model for bearing spall size estimation based on oil debris, Engineering Failure Analysis Volume. 134, 2022, 106011, ISSN 1350-6307, https://doi.org/10.1016/j.engfailanal.2021.106011 (https://www.sciencedirect.com/science/article/pii/S1350630721008724?via%3Dihub) |
