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

Citations

Cited by:

1. 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).
2. 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).
3. 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).
4. 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).
5. Costa, Nahuel & Sánchez, Luciano, 2025. "Few-shot generative compression approach for system health monitoring," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
6. Wang, Shi-ao & Wang, Shibin & Wang, Wei & Zheng, Yiming & Ding, Baoqing & Yan, Ruqiang & Chen, Xuefeng, 2025. "Unrolled sparse coding via lifting wavelet for interpretable intelligent fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
7. 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).
8. 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).
9. 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).
10. 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).
11. 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).
12. 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).
13. Hong, Ruidong & Nie, Songlin & Ji, Hui & Ma, Zhonghai, 2025. "Physics-informed machine learning for high-speed on/off valve performance degradation prediction in water hydraulic manipulator," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
14. 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).
15. 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).
16. 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).
17. Peter Söderholm & Per-Anders Akersten, 2025. "Event tree analysis for risk-based assessment of digitalised condition-based maintenance in railway," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(10), pages 3522-3533, October.
18. 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).
19. 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).
20. Wang, Lubing & Zhao, Xufeng & Pham, Hoang, 2025. "Novel formulations and metaheuristic algorithms for predictive maintenance of aircraft engines with remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
21. 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.
22. 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).
23. 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).
24. Hossini, Anas & Kloul, Leïla & Guiraud, Maël & Cohen Boulakia, Benjamin, 2026. "Multi-agent reinforcement learning approach for predictive maintenance of a Smart Building lighting system," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
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. 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).
27. 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).
28. 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).
29. 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).
30. Lian, Zheng & Feng, Zhi-Chao & Zhou, Zhi-Jie & Hu, Chang-Hua & Hu, Lai-Hong & Zhang, Fu-Qiao, 2025. "Preferred decision for industrial equipment operation rotation considering health state based on belief rule base and evidential reasoning," Reliability Engineering and System Safety, Elsevier, vol. 263(C).
31. Wang, Bingsen & Baraldi, Piero & Shokry, Ahmed & Zio, Enrico, 2026. "A novel two-stage heterogeneous transfer learning framework for the estimation of the remaining useful life of industrial components," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
32. 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).
33. 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.
34. Zhou, Ke & Zhong, Xiang & Shao, Haidong & Zhang, Haomiao & Liu, Bin, 2025. "DT-PPO: A Real-Time multisensor-driven predictive maintenance framework," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
35. 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.
36. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
37. 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.
38. 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).
39. 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).
40. 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).
41. 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).
42. 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).
43. 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).
44. 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).
45. 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).
46. Liudong Gu & Guanjun Wang & Shuyi Zhang & Fengjun Duan & Fan Wu, 2026. "Reliability modeling for two-phase degradation products based on the inverse Gaussian process," Journal of Risk and Reliability, , vol. 240(1), pages 278-294, February.
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48. 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).
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50. 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).
51. Lin, Fanwei & Ren, Jiaxin & Zhao, Zhibin & Zhang, Xingwu & Chen, Xuefeng, 2026. "An uncertainty-guided contrastive learning method for OOD detection in trustworthy fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).
52. 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).
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54. 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).
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56. 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).
57. 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).
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