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. 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).
3. 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).
4. 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).
5. 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).
6. 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).
7. 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).
8. 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).
9. 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).
10. 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).
11. 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).
12. 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).
13. 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).
14. 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).
15. 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).
16. 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).
17. 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).
18. 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).
19. 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).
20. 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).
21. 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).
22. 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).
23. 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).
24. 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).
25. 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).
26. 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).
27. 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).