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P. Nunes, J. Santos, E. Rocha, Challenges in predictive maintenance – A review, CIRP Journal of Manufacturing Science and Technology, Volume 40, 2023, Pages 53-67, ISSN 1755-5817, https://doi.org/10.1016/j.cirpj.2022.11.004. (https://www.sciencedirect.com/science/article/pii/S1755581722001742)
Hyung Jun Park, Seokgoo Kim, Junyoung Lee, Nam Ho Kim, Joo-Ho Choi, System-level prognostics approach for failure prediction of reaction wheel motor in satellites, Advances in Space Research, Volume 71, Issue 6, 2023, Pages 2691-2701, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2022.11.028. (https://www.sciencedirect.com/science/article/pii/S027311772201050X)
Tahmineh Raoofi, Melih Yildiz, Comprehensive review of battery state estimation strategies using machine learning for battery Management Systems of Aircraft Propulsion Batteries, Journal of Energy Storage, Volume 59, 2023, 106486, ISSN 2352-152X, https://doi.org/10.1016/j.est.2022.106486. (https://www.sciencedirect.com/science/article/pii/S2352152X22024756)
Zhe Zheng, Fei Wang, Guofang Gong, Huayong Yang, Dong Han, Intelligent technologies for construction machinery using data-driven methods, Automation in Construction, Volume 147, 2023, 104711, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2022.104711. (https://www.sciencedirect.com/science/article/pii/S0926580522005817)
Elisa Negri, Laura Cattaneo, Vibhor Pandhare, Marco Macchi, Jay Lee, Integrating PHM into production scheduling through a Digital Twin-based framework, IFAC-PapersOnLine, Volume 55, Issue 19, 2022, Pages 31-36, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.09.180. (https://www.sciencedirect.com/science/article/pii/S2405896322013921)
Peng-hao Deng, Chuang Cui, Zhen-yu Cheng, Qing-hua Zhang, Yi-zhi Bu, Fatigue damage prognosis of orthotropic steel deck based on data-driven LSTM, Journal of Constructional Steel Research, Volume 202, 2023, 107777, ISSN 0143-974X, https://doi.org/10.1016/j.jcsr.2023.107777. (https://www.sciencedirect.com/science/article/pii/S0143974X23000044)
Marcia L. Baptista, Elsa M.P. Henriques, 1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan, Applied Soft Computing, Volume 131, 2022, 109785, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2022.109785. (https://www.sciencedirect.com/science/article/pii/S1568494622008341)
Priyom Goswami, Rajiv Nandan Rai, A systematic review on failure modes and proposed methodology to artificially seed faults for promoting PHM studies in laboratory environment for an industrial gearbox, Engineering Failure Analysis, Volume 146, 2023, 107076, ISSN 1350-6307, https://doi.org/10.1016/j.engfailanal.2023.107076. (https://www.sciencedirect.com/science/article/pii/S1350630723000304)
Lijun Wang, Xiangyang Li, Pengyan Guo, Shuman Guo, Zhenzhong Yang, Pucheng Pei, Bibliometric analysis of prognostics and health management (PHM) in hydrogen fuel cell engines, International Journal of Hydrogen Energy, Volume 47, Issue 80, 2022, Pages 34216-34243, ISSN 0360-3199, https://doi.org/10.1016/j.ijhydene.2022.08.024. (https://www.sciencedirect.com/science/article/pii/S0360319922034620)
Michele Compare, Federico Antonello, Luca Pinciroli, Enrico Zio, A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities, Reliability Engineering & System Safety, Volume 224, 2022, 108499, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2022.108499. (https://www.sciencedirect.com/science/article/pii/S0951832022001600)
Fei Peng, Li Zheng, Yongdong Peng, Congcong Fang, Xianghui Meng, Digital Twin for rolling bearings: A review of current simulation and PHM techniques, Measurement, Volume 201, 2022, 111728, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2022.111728. (https://www.sciencedirect.com/science/article/pii/S0263224122009332)
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)
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)
Nabil Omri, Zeina Al Masry, Nicolas Mairot, Sylvian Giampiccolo, Noureddine Zerhouni, X-PHM: Prognostics and health management knowledge-based framework for SME, Procedia CIRP, Volume 104, 2021, Pages 1595-1600, ISSN 2212-8271, https://doi.org/10.1016/j.procir.2021.11.269. (https://www.sciencedirect.com/science/article/pii/S2212827121011677)
Ayoub DRISSI, Benoît IUNG, Alexandre VOISIN, Vincent GALINIER, Coupling Prognostics and Decision Making (P&DM) Processes in PHM: A literature review and proposal of a Residual Performance Lifetime concept, IFAC-PapersOnLine, Volume 55, Issue 19, 2022, Pages 145-150, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.09.198. (https://www.sciencedirect.com/science/article/pii/S2405896322014136)
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