Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges

Citations

Cited by:

1. Braga, Joaquim A.P. & Costa, João N. & Ambrósio, Jorge & Frey, Daniel & Andrade, António R., 2024. "Robust assessment of railway vehicle safety risks in operation using a proposed data-driven wheel profile generation approach: Design of computer experiments and surrogate models," Reliability Engineering and System Safety, Elsevier, vol. 249(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. Yang, Shilong & Tang, Baoping & Wang, Weiying & Yang, Qichao & Hu, Cheng, 2024. "Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
4. Pang, Zhendong & Luan, Yingxin & Chen, Jiahong & Li, Teng, 2024. "ParInfoGPT: An LLM-based two-stage framework for reliability assessment of rotating machine under partial information," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
5. Zhang, Jiusi & Tian, Jilun & Yan, Pengfei & Wu, Shimeng & Luo, Hao & Yin, Shen, 2024. "Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
6. He, Zhongze & Wang, Shaoping & Shi, Jian & Liu, Di & Duan, Xiaochuan & Shang, Yaoxing, 2025. "Physics-informed neural network supported wiener process for degradation modeling and reliability prediction," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
7. Chiou, Suh-Wen, 2024. "A learning optimization for resilience enhancement of risk-informed traffic control system with hazardous materials transportation under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
8. Phan, Hieu Chi & Dhar, Ashutosh Sutra & Bui, Nang Duc, 2023. "Reliability assessment of pipelines crossing strike-slip faults considering modeling uncertainties using ANN models," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
9. Ma, Zhihao & Jiang, Gang & Hu, Yuqing & Chen, Jianli, 2025. "A review of physics-informed machine learning for building energy modeling," Applied Energy, Elsevier, vol. 381(C).
10. Quinci, Gianluca & Paolacci, Fabrizio & Fragiadakis, Michalis & Bursi, Oreste S., 2025. "A machine learning framework for seismic risk assessment of industrial equipment," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
11. He, Yu & Ma, Yafei & Huang, Ke & Wang, Lei & Zhang, Jianren, 2024. "Digital twin Bayesian entropy framework for corrosion fatigue life prediction and calibration of bridge suspender," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
12. Zhang, Qing & Li, Shaochen & Chin-Hon, Tan & Liu, Xiaofei & Shen, Jingyuan & Shi, Tielin & Xuan, Jianping, 2025. "Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
13. Mei, Fabin & Chen, Hao & Yang, Wenying & Zhai, Guofu, 2024. "A hybrid physics-informed machine learning approach for time-dependent reliability assessment of electromagnetic relays," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
14. Bai, Zhiwei & Song, Shufang, 2025. "Physics-based pruning neural network for global sensitivity analysis," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
15. Costa, Nahuel & Sánchez, Luciano, 2025. "Few-shot generative compression approach for system health monitoring," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
16. Wang, Ziqi & Song, Junho & Broccardo, Marco, 2024. "Probabilistic Performance-Pattern Decomposition (PPPD): Analysis framework and applications to stochastic mechanical systems," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
17. Ayodeji Abatan & Alexander Obaigbena & Ejike David Ugwuanyi & Boma Sonimitiem Jacks & Enoch Oluwademilade Sodiya & Onyeka Henry Daraojimba & Oluwaseun Augustine Lottu, 2024. "Simulation-Driven Strategies For Enhancing Water Treatment Processes In Chemical Engineering: Addressing Environmental Challenges," Engineering Heritage Journal (GWK), Zibeline International Publishing, vol. 8(1), pages 34-41, April.
18. Shi, Jihao & Li, Junjie & Tam, Wai Cheong & Gardoni, Paolo & Usmani, Asif Sohail, 2025. "Physics_GNN: Towards Physics-informed graph neural network for the real-time simulation of obstructed gas explosion," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
19. Zhou, Maohui & Li, Yanjun & Cao, Yuyuan & Ma, Xinyu & Xu, Zhenteng, 2025. "Physics-informed spatio-temporal hybrid neural networks for predicting remaining useful life in aircraft engine," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
20. He, Yuxuan & Zio, Enrico & Yang, Zhaoming & Xiang, Qi & Fan, Lin & He, Qian & Peng, Shiliang & Zhang, Zongjie & Su, Huai & Zhang, Jinjun, 2025. "A systematic resilience assessment framework for multi-state systems based on physics-informed neural network," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
21. Li, Butong & Zhu, Junjie & Zhao, Xufeng, 2025. "A hybrid physics informed predictive scheme for predicting low-cycle fatigue life and reliability of aerospace materials under multiaxial loading conditions," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
22. Chen, Edward & Bao, Han & Dinh, Nam, 2024. "Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
23. Li, Jian & Yang, Zhao & He, Hongxia & Guo, Changzhen & Chen, Yubo & Zhang, Yong, 2024. "Risk causation analysis and prevention strategy of working fluid systems based on accident data and complex network theory," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
24. Abaei, Mohammad Mahdi & Leira, Bernt Johan & Sævik, Svein & BahooToroody, Ahmad, 2024. "Integrating physics-based simulations with gaussian processes for enhanced safety assessment of offshore installations," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
25. Dongze Lei & Junwei Ma & Guangcheng Zhang & Yankun Wang & Xin Deng & Jiayu Liu, 2025. "Bayesian ensemble learning and Shapley additive explanations for fast estimation of slope stability with a physics-informed database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(3), pages 2941-2970, February.
26. Wei, Yujie & Chen, Zhen & Ye, Zhi-Sheng & Pan, Ershun, 2024. "High-dimensional process monitoring under time-varying operating conditions via covariate-regulated principal component analysis," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
27. Li, Butong & Zhu, Junjie & Zhao, Xufeng, 2025. "A prior knowledge-guided predictive framework for LCF life and its implementation in shaft-like components under multiaxial loading," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
28. Du, Jianwei & Ren, Gang & Cui, Jialei & Cao, Qi & Wang, Jian & Wu, Chenyang & Zhang, Jiefei, 2025. "Monitoring of operational resilience on urban road network: A Shaoxing case study," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
29. 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).
30. Li, Si-Qi & Gardoni, Paolo, 2024. "Optimized seismic hazard and structural vulnerability model considering macroseismic intensity measures," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
31. Jiang, Yuan & Liu, Zheng & Kabirzadeh, Pouya & Wu, Yulun & Li, Yumeng & Miljkovic, Nenad & Wang, Pingfeng, 2025. "Multi-fidelity physics-informed convolutional neural network for heat map prediction of battery packs," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
32. Wang, Zhenya & Zhang, Meng & Chen, Hui & Li, Jinghu & Li, Gaosong & Zhao, Jingshan & Yao, Ligang & Zhang, Jun & Chu, Fulei, 2025. "A generalized fault diagnosis framework for rotating machinery based on phase entropy," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
33. Wang, Haijie & Li, Bo & Lei, Liming & Xuan, Fuzhen, 2024. "Uncertainty-aware fatigue-life prediction of additively manufactured Hastelloy X superalloy using a physics-informed probabilistic neural network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
34. Alsulieman, Abdullah & Ge, Xihe & Zeng, Zhiguo & Butenko, Sergiy & Khan, Faisal & El-Halwagi, Mahmoud, 2024. "Dynamic risk analysis of evolving scenarios in oil and gas separator," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
35. Jiang, Fengyuan & Dong, Sheng, 2025. "Development of a CNN-based integrated surrogate model in evaluating the damage of buried pipeline under impact loads, considering the soil spatial variability," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
36. Zhu, Jingbao & Sun, Wentao & Li, Shanyou & Yao, Kunpeng & Song, Jindong, 2024. "Threshold-based earthquake early warning for high-speed railways using deep learning," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
37. Pan, Yue & Qin, Jianjun & Hou, Yongmao & Chen, Jin-Jian, 2024. "Two-stage support vector machine-enabled deep excavation settlement prediction considering class imbalance and multi-source uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
38. Oster, Matthew R. & King, Ethan & Bakker, Craig & Bhattacharya, Arnab & Chatterjee, Samrat & Pan, Feng, 2023. "Multi-level optimization with the koopman operator for data-driven, domain-aware, and dynamic system security," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
39. Song, Chaolin & Xiao, Rucheng & Zhang, Chi & Zhao, Xinwei & Sun, Bo, 2024. "Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
40. Deng, Weikun & Le, Hung & Nguyen, Khanh T.P. & Gogu, Christian & Medjaher, Kamal & Morio, Jérôme & Wu, Dazhong, 2025. "A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data," Applied Energy, Elsevier, vol. 384(C).
41. Qin, Zhiyuan & Naser, M.Z., 2023. "Machine learning and model driven bayesian uncertainty quantification in suspended nonstructural systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
42. Du, Jianwei & Cui, Jialei & Ren, Gang & Thompson, Russell G. & Zhang, Lele, 2025. "Cascading failures and resilience evolution in urban road traffic networks with bounded rational route choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 664(C).
43. Zhang, Ruixing & An, Liqiang & He, Lun & Yang, Xinmeng & Huang, Zenghao, 2024. "Reliability analysis and inverse optimization method for floating wind turbines driven by dual meta-models combining transient-steady responses," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
44. Xiong, Ziluo & Jia, Gaofeng, 2025. "Data-driven global sensitivity analysis for group of random variables through knowledge-enhanced machine learning with normalizing flows," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
45. Martón, I. & Sánchez, A.I. & Carlos, S. & Mullor, R. & Martorell, S., 2023. "Prognosis of wear-out effect on of safety equipment reliability for nuclear power plants long-term safe operation," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
46. Hughes, William & Watson, Peter L. & Cerrai, Diego & Zhang, Xinxuan & Bagtzoglou, Amvrossios & Zhang, Wei & Anagnostou, Emmanouil, 2024. "Assessing grid hardening strategies to improve power system performance during storms using a hybrid mechanistic-machine learning outage prediction model," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
47. Zhao, Zilong & Lv, Guoquan & Xu, Yanwen & Lin, Yu-Feng & Wang, Pingfeng & Wang, Xinlei, 2024. "Enhancing ground source heat pump system design optimization: A stochastic model incorporating transient geological factors and decision variables," Renewable Energy, Elsevier, vol. 225(C).
48. Eischens, Reese & Li, Tao & Vogl, Gregory W. & Cai, Yi & Qu, Yongzhi, 2025. "State space neural network with nonlinear physics for mechanical system modeling," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
49. Yeh, Wei-Chang, 2025. "Enhancing reliability calculation for one-output k-out-of-n binary-state networks using a new BAT," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).