T–S Dynamic Fault Tree Analysis Method Considering Imperfect Coverage Based on Phase-Type Distribution
Author:
Funder
National Natural Science Foundation of China
Hebei Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08561-7.pdf
Reference33 articles.
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2. Mahmood, N.; Butalia, T.; Qin, R.J.; Manasrah, M.: Concurrent events risk assessment generic models with enhanced reliability using fault tree analysis and expanded rotational fuzzy sets. Expert Syst. Appl. 197, (2022). https://doi.org/10.1016/j.eswa.2022.116681
3. Yazdi, M.; Kabir, S.; Walker, M.: Uncertainty handling in fault tree based risk assessment: state of the art and future perspectives. Process. Saf. Environ. Prot. 131, 89–104 (2019). https://doi.org/10.1016/j.psep.2019.09.003
4. Yang, W.T.; Du, B.Y.; He, C.H.; Sterpone, L.: Reliability assessment on 16 nm ultrascale+MPSoC using fault injection and fault tree analysis. Microelectron. Reliab. 120 (2021). https://doi.org/10.1016/j.microrel.2021.114122
5. Song, H.; Zhang, H.Y.; Chan, C.W.: Fuzzy fault tree analysis based on T-S model with application to INS/GPS navigation system. Soft. Comput. 13(1), 31–40 (2009). https://doi.org/10.1007/s00500-008-0290-3
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