A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning. - Lin Fan; Huai Su; Wei Wang 279; Enrico Zio; Li Zhang; Zhaoming Yang; Shiliang Peng; Weichao Yu; Lili Zuo; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2022)

A reliability evaluation method for gas transmission pipeline segments with multiple defects. - Weiyuan Peng; Huai Su; Shiliang Peng; Zhaoming Ying; Xiaodong Qin; Qian He; Xiao Wang; Xiaoben Liu; Hong Zhang 004; Jinjun Zhang (ICMML, 2023)

A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data. - Yuxuan He; Huai Su; Enrico Zio; Shiliang Peng; Lin Fan; Zhaoming Yang; Zhe Yang 014; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2023)

A systematic resilience assessment framework for multi-state systems based on physics-informed neural network. - Yuxuan He; Enrico Zio; Zhaoming Yang; Qi Xiang; Lin Fan; Qian He; Shiliang Peng; Zongjie Zhang; Huai Su; Jinjun Zhang (Reliab. Eng. Syst. Saf., 2025)