Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks

Meng, Huixing; Hu, Mengqian; Kong, Ziyan; Niu, Yiming; Liang, Jiali; Nie, Zhenyu; Xing, Jinduo

doi:10.1016/j.ress.2024.110294

Reliability Engineering & System Safety

2024

DOI: 10.1016/j.ress.2024.110294

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Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks

Huixing Meng,

Mengqian Hu,

Ziyan Kong

et al.

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Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks

Cited by 10 publications

References 41 publications

A novel multi-stage precision reliability assessment method for mechanical system by Bayesian fusion

A novel multi-stage precision reliability assessment method for mechanical system by Bayesian fusion

Multi-perspective failure mode and effects analysis based on rough number projection

Identification of security scenarios in offshore Oil&Gas production facilities based on past incident analysis

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