梁正霖 - 清华大学 - 工业工程系

个人简介

梁正霖，博士毕业于剑桥大学，现任清华大学工业工程系副教授，博士生导师，清华大学质量与可靠性研究院院长助理，清华-华为联合实验室副主任。长期致力于系统可靠性、故障预测与健康管理、网络弹性、机器学习、数字孪生等方向的研究，以及将其应用于基础设施、电信网络、电网等系统，研究成果发表在IEEE Transactions on Reliability、Reliability Engineering & Systems Safety、IISE Transactions等可靠性领域与工业工程领域旗舰期刊。现任IEEE Transaction on Reliability副编与Journal of Systems and Software编委，获得Associate Fellow of The Higher Education Academy。教育背景 2011-2015：英国剑桥大学，圣•约翰学院，可靠性与资产管理，博士 2010-2011：布里斯托大学，图像和视频通信与信号，硕士 2007-2010：曼彻斯特大学，电气电子工程，学士工作经历 2021-现在：清华大学工业工程系，副教授 2019-2021：清华大学工业工程系，助理教授 2016-2019：剑桥大学工程系，博后助理研究员 2015-2016：剑桥大学工程系，研究助理

研究领域

系统可靠性故障预测与健康管理网络弹性风险分析机器学习数字孪生

近期论文

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期刊发表 Liang, Z*. and Li, Y.F., 2023. Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks. Reliability Engineering & System Safety, 237, p.109335. Liang, Z*., Jiang, C., Sun, M., Xue, Z. and Li, Y.F., 2023. Resilience Analysis for Confronting the Spreading Risk of Contagious Diseases. Reliability Engineering & System Safety, p.109525. Zeng, J. and Liang, Z*., 2023. A dynamic predictive maintenance approach using probabilistic deep learning for a fleet of multi-component systems. Reliability Engineering & System Safety, p.109456. Guo, C. and Liang, Z*., 2022. A predictive Markov decision process for optimizing inspection and maintenance strategies of partially observable multi-state systems. Reliability Engineering & System Safety, 226, p.108683. Zeng, J. and Liang, Z*., 2022. A deep Gaussian process approach for predictive maintenance. IEEE Transactions on Reliability. Zhao, X., Liang, Z*., Parlikad, A.K. and Xie, M., 2022. Performance-oriented risk evaluation and maintenance for multi-asset systems: A Bayesian perspective. IISE Transactions, 54(3), pp.251-270. Liang, Z*., Xue, Z., Li, Y.F., Miao, D. and Lin, K., 2022. Resilience: A Pathway Towards High Service Reliability in Telecommunication Networks. Findings. Guo, C. and Liang, Z*., 2021. Semi-Markovian Maintenance Optimization for Reinforced Concrete Enabled by a Synthesized Deterioration Model. IEEE Transactions on Reliability, 71(4), pp.1577-1589. Xu, J., Liang, Z*., Li, Y.F. and Wang, K., 2021. Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance. Reliability Engineering & System Safety, 211, p.107592. Lu, Q., Parlikad, A.K., Woodall, P., Don Ranasinghe, G., Xie, X., Liang, Z., Konstantinou, E., Heaton, J. and Schooling, J., 2020. Developing a digital twin at building and city levels: Case study of West Cambridge campus. Journal of Management in Engineering, 36(3), p.05020004. Liang, Z*., Liu, B., Xie, M. and Parlikad, A.K., 2020. Condition-based maintenance for long-life assets with exposure to operational and environmental risks. International Journal of Production Economics, 221, p.107482. Liang, Z*. and Parlikad, A.K., 2020. Predictive group maintenance for multi-system multi-component networks. Reliability Engineering & System Safety, 195, p.106704. Liu, B., Liang, Z., Parlikad, A.K., Xie, M. and Kuo, W., 2017. Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model. Reliability Engineering & System Safety, Volume 168, Pages 200-209, ISSN 0951-8320 Peng, B., Zhang, F., Liang, J., Ding, L., Liang, Z. and Wu, Q., 2019. Coordinated control strategy for the short-term frequency response of a DFIG-ES system based on wind speed zone classification and fuzzy logic control. International Journal of Electrical Power & Energy Systems, 107, pp.363-378. Palau, A.S., Liang, Z., Lütgehetmann, D. and Parlikad, A.K., 2019. Collaborative prognostics in social asset networks. Future Generation Computer Systems, 92, pp.987-995. Liang, Z*. and Parlikad, A., 2018. A Markovian model for power transformer maintenance. International Journal of Electrical Power & Energy Systems, 99, pp.175-182. Mahani, K#., Liang, Z #., Parlikad, A.K. and Jafari, M.A., 2018. Joint optimization of operation and maintenance policies for solar-powered microgrids. IEEE Transactions on Sustainable Energy, 10(2), pp.833-842. Liang, Z*., Parlikad, A.K., Srinivasan, R. and Rasmekomen, N., 2017. On fault propagation in deterioration of multi-component systems. Reliability Engineering & System Safety, 162, pp.72-80. Liang, Z*. and Parlikad, A.K., 2015. A condition-based maintenance model for assets with accelerated deterioration due to fault propagation. IEEE Transactions on Reliability, 64(3), pp.972-982. Liang, Z. and Parlikad, A.K., 2015. A tiered modelling approach for condition-based maintenance of industrial assets with load sharing interaction and fault propagation. IMA Journal of Management Mathematics, 26(2), pp.125-144. 书籍章节 Liu, B., Liang, Z., Parlikad, A.K., Xie, M. and Kuo, W., 2020. Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model. Value Based and Intelligent Asset Management: Mastering the Asset Management Transformation in Industrial Plants and Infrastructures, pp.211-231. 会议文章 Xue, Z. and Liang, Z*., 2022, December. Resilience Analysis under the Impact of Cell Failures in the Practical Telecommunication base Station Networks. In 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C) (pp. 778-779). IEEE. Guo, C., Liang, Z*., Zeng, J., Song, M. and Xue, Z., 2021, December. A predictive Hidden semi-Markov Model for bridges subject to chloride-induced deterioration. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 751-756). IEEE. Zeng, J., Liang, Z*., Guo, C., Song, M. and Xue, Z., 2021, December. A Gaussian Process Approach for Predictive Maintenance. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 745-750). IEEE. Xue, Z., Liang, Z*., Song, M., Guo, C. and Zeng, J., 2021, December. Base station network alarm streams modeling and prediction based on Cox proportional hazard model and copula. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 767-772). IEEE. Song, M., Liang, Z*., Xue, Z., Guo, C. and Zeng, J., 2021, December. Remaining Useful Life Prediction for Multi-state Stochastic Deterioration Assets Based on Phase-type Distributions. In 2021 IEEE 21st International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 773-777). IEEE. Guo, C. and Liang, Z*., 2021, October. A Semi-Markov Maintenance Model for Bridges Synthesizing with Four Types of Uncertainties. In 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) (pp. 1-5). IEEE. Parlikad, A.K. and Liang, Z., 2012. Condition Based Maintenance for Complex Engineering Assets: A Multi-Layered Modelling Approach. IFAC Proceedings Volumes, 45(31), pp.73-78.