Prognostics and health management: A review from the perspectives of design, development and decision

Citations

Cited by:

1. Li, Tianmei & Pei, Hong & Si, Xiaosheng & Lei, Yaguo, 2023. "Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
2. Cuesta, Jokin & Leturiondo, Urko & Vidal, Yolanda & Pozo, Francesc, 2025. "A review of prognostics and health management techniques in wind energy," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
3. Shi, Yong & Zhang, Linzi, 2023. "Modelling long- and short-term multi-dimensional patterns in predictive maintenance with accumulative attention," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
4. Mitici, Mihaela & de Pater, Ingeborg & Barros, Anne & Zeng, Zhiguo, 2023. "Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
5. Han, Te & Li, Yan-Fu, 2022. "Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
6. Lee, Juseong & Mitici, Mihaela, 2023. "Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
7. Yu, Xiaolei & Zhao, Zhibin & Zhang, Xingwu & Chen, Xuefeng & Cai, Jianbing, 2023. "Statistical identification guided open-set domain adaptation in fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
8. Costa, Nahuel & Sánchez, Luciano, 2025. "Few-shot generative compression approach for system health monitoring," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
9. Mandelli, Diego & Wang, Congjian & Agarwal, Vivek & Lin, Linyu & Manjunatha, Koushik A., 2024. "Reliability modeling in a predictive maintenance context: A margin-based approach," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
10. Chen, Jiaxian & Li, Dongpeng & Huang, Ruyi & Chen, Zhuyun & Li, Weihua, 2023. "Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
11. Zou, Xinyu & Tao, Laifa & Sun, Lulu & Wang, Chao & Ma, Jian & Lu, Chen, 2023. "A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
12. Xu, Xiaobin & Zhou, Jiahao & Weng, Xu & Zhang, Zehui & He, Hong & Steyskal, Felix & Brunauer, Georg, 2024. "A novel evidence reasoning-based RUL prediction method integrating uncertainty information," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
13. Liao, Zengbu & Zhan, Keyi & Zhao, Hang & Deng, Yuntao & Geng, Jia & Chen, Xuefeng & Song, Zhiping, 2024. "Addressing class-imbalanced learning in real-time aero-engine gas-path fault diagnosis via feature filtering and mapping," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
14. Weeber, Christoph, 2024. "Development of a cost optimal predictive maintenance strategy," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(3), pages 1805-1835.
15. Salman Khalid & Jinwoo Song & Muhammad Muzammil Azad & Muhammad Umar Elahi & Jaehun Lee & Soo-Ho Jo & Heung Soo Kim, 2023. "A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management," Mathematics, MDPI, vol. 11(18), pages 1-42, September.
16. Zuo, Jian & Cadet, Catherine & Li, Zhongliang & Bérenguer, Christophe & Outbib, Rachid, 2024. "A deterioration-aware energy management strategy for the lifetime improvement of a multi-stack fuel cell system subject to a random dynamic load," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
17. Cheng, Wei & Ahmad, Hassaan & Gao, Lin & Xing, Ji & Nie, Zelin & Chen, Xuefeng & Xu, Zhao & Zhang, Rongyong, 2025. "Diagnostics and Prognostics in Power Plants: A systematic review," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
18. Wang, Chu & Dou, Manfeng & Li, Zhongliang & Outbib, Rachid & Zhao, Dongdong & Zuo, Jian & Wang, Yuanlin & Liang, Bin & Wang, Peng, 2023. "Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
19. Park, Hyung Jun & Kim, Nam H. & Choi, Joo-Ho, 2024. "A robust health prediction using Bayesian approach guided by physical constraints," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
20. Zheng, Rui & Najafi, Seyedvahid & Zhang, Yingzhi, 2022. "A recursive method for the health assessment of systems using the proportional hazards model," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
21. Duan, Chaoqun & Li, Yifan & Pu, Huayan & Luo, Jun, 2022. "Adaptive monitoring scheme of stochastically failing systems under hidden degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
22. Ma, Jie & Cai, Li & Liao, Guobo & Yin, Hongpeng & Si, Xiaosheng & Zhang, Peng, 2023. "A multi-phase Wiener process-based degradation model with imperfect maintenance activities," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
23. Jin, Tongdan, 2025. "Contracting for system availability with zero ownership cost via redundancy, maintenance and repairable inventory," International Journal of Production Economics, Elsevier, vol. 281(C).
24. Aven, Terje & Rios Insua, David & Soyer, Refik & Zhu, Xiaoyan & Zio, Enrico, 2025. "Fifty years of reliability in operations research," European Journal of Operational Research, Elsevier, vol. 324(2), pages 361-381.
25. Giannakeas, Ilias N. & Mazaheri, Fatemeh & Bacarreza, Omar & Khodaei, Zahra Sharif & Aliabadi, Ferri M.H., 2023. "Probabilistic residual strength assessment of smart composite aircraft panels using guided waves," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
26. Zhou, Liang & Wang, Huawei, 2024. "An adaptive multi-scale feature fusion and adaptive mixture-of-experts multi-task model for industrial equipment health status assessment and remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
27. Liu, Jun & Wan, Yunchang & Zhang, Qingzhou & Wang, Hongpeng & Zhao, Dahai & Wei, Daoling & Zhu, Yunhua & Liu, Junyu, 2024. "Optimization of isolation valve placement to improve reliability and resilience of water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
28. Lian, Zheng & Zhou, Zhi-Jie & Hu, Chang-Hua & Wang, Jie & Zhang, Chun-Chao & Zhang, Chao-Li, 2024. "A health assessment method with attribute importance modeling for complex systems using belief rule base," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
29. Zhou, Taotao & Han, Te & Droguett, Enrique Lopez, 2022. "Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
30. Aizpurua, J.I. & Stewart, B.G. & McArthur, S.D.J. & Penalba, M. & Barrenetxea, M. & Muxika, E. & Ringwood, J.V., 2022. "Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
31. Sánchez, Luciano & Costa, Nahuel & Couso, Inés, 2023. "Simplified models of remaining useful life based on stochastic orderings," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
32. Llasag Rosero, Raúl & Silva, Catarina & Ribeiro, Bernardete & Albisser, Melania & Brutsche, Martin & Arias Chao, Manuel, 2025. "Label synchronization strategies for hybrid federated learning," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
33. Liu, Ruonan & Zhang, Quanhu & Lin, Di & Zhang, Weidong & Ding, Steven X., 2024. "Causal intervention graph neural network for fault diagnosis of complex industrial processes," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
34. Yan, Jianhai & He, Zhen & He, Shuguang, 2023. "Multitask learning of health state assessment and remaining useful life prediction for sensor-equipped machines," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
35. Zhao, Yunfei & Vaddi, Pavan Kumar & Pietrykowski, Michael & Khafizov, Marat & Smidts, Carol, 2023. "An empirical study of the added value of the sequential learning of model parameters to industrial system health monitoring," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
36. Pan, Junlin & Sun, Bo & Wu, Zeyu & Yi, Zechen & Feng, Qiang & Ren, Yi & Wang, Zili, 2024. "Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
37. Meng, Huixing & Liu, Xuan & Xing, Jinduo & Zio, Enrico, 2022. "A method for economic evaluation of predictive maintenance technologies by integrating system dynamics and evolutionary game modelling," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
38. Li, Yan-Fu & Wang, Huan & Sun, Muxia, 2024. "ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
39. He, Yuxuan & Su, Huai & Zio, Enrico & Peng, Shiliang & Fan, Lin & Yang, Zhaoming & Yang, Zhe & Zhang, Jinjun, 2023. "A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
40. Ma, Yulin & Yang, Jun & Li, Lei, 2023. "Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
41. Wang, Fu & Xiahou, Tangfan & Zhang, Xian & He, Pan & Yang, Taibo & Niu, Jiang & Liu, Caixue & Liu, Yu, 2024. "Convolutional preprocessing Transformer-based fault diagnosis for rectifier-filter circuits in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
42. Piero Baraldi & Michele Compare & Enrico Zio & Francesco Cannarile & Zhe Yang, 2023. "The Aramis Data Challenge to prognostics and health management methods for application in evolving environments," Journal of Risk and Reliability, , vol. 237(5), pages 958-965, October.
43. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
44. Luo, Yi & Zhao, Xiujie & Liu, Bin & He, Shuguang, 2024. "Condition-based maintenance policy for systems under dynamic environment," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
45. Jiang, Weixiong & Wu, Jun & Yang, Yifan & Li, Xinyu & Zhu, Haiping, 2025. "Health evaluation techniques towards rotating machinery: A systematic literature review and implementation guideline," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
46. Liu, Yang & Zhou, Guangda & Zhao, Shujian & Li, Liang & Xie, Wenhua & Su, Bengan & Li, Yongwei & Zhao, Zhen, 2025. "A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions," Reliability Engineering and System Safety, Elsevier, vol. 254(PA).
47. Meng, Huixing & Geng, Mengyao & Xing, Jinduo & Zio, Enrico, 2022. "A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena," Energy, Elsevier, vol. 261(PB).
48. Compare, Michele & Antonello, Federico & Pinciroli, Luca & Zio, Enrico, 2022. "A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities," Reliability Engineering and System Safety, Elsevier, vol. 224(C).