A novel method for reliability evaluation of Markov systems
可靠性科学与工程学报(英文)2026年2卷第2期 页码:1-12
作者机构:
Northwestern Polytechnical University, Xi'an, People's Republic of China
Université de Technologie de Compiègne, Compiègne, France
作者简介:
Yamei Zhang received her PhD degree from Northwestern Polytechnical University, Xi'an, China. She is currently a lecturer at the School of Physical Science and Technology, Northwestern Polytechnical University. Her research interests include system reliability modeling and maintenance optimization.
Nikolaos Limnios is a distinguished professor in France and worked at the Institute of Applied Mathematics of the Université de Technologie de Compiègne, France. Nikolaos In 2018, he received the ‘Academic Palm Medal’ in recognition of his academic contributions. His main research interests include modeling and estimation of semi-Markov systems, convergence properties of random evolutions, and fundamental theoretical issues in hidden semi-Markov models.
Bei Wu received her PhD degree in Beijing Institute of Technology. She is currently an Associate Professor and PhD Supervisor at the School of Management, Northwestern Polytechnical University. Her research focuses on system resilience, reliability, and maintainability management. Since 2017, she has published over forty papers in high-level research journals and conferences, including Naval Research Logistics, IISE Transactions, IEEE Transactions on Engineering Management, Reliability Engineering & System Safety, and International Journal of Production Research.
Yamei Zhang, Nikolaos Limnios and Bei Wu. 马尔可夫系统可靠性评估的一种新方法[J]. 可靠性科学与工程学报(英文), 2026, 2: 025001.
Yamei Zhang, Nikolaos Limnios and Bei Wu. A novel method for reliability evaluation of Markov systems[J]. Journal of Reliability Science and Engineering, 2026, 2: 025001.
Yamei Zhang, Nikolaos Limnios and Bei Wu. 马尔可夫系统可靠性评估的一种新方法[J]. 可靠性科学与工程学报(英文), 2026, 2: 025001.DOI: 10.1088/3050-2454/ae587c.
Yamei Zhang, Nikolaos Limnios and Bei Wu. A novel method for reliability evaluation of Markov systems[J]. Journal of Reliability Science and Engineering, 2026, 2: 025001.DOI: 10.1088/3050-2454/ae587c.