Dr Zhenglin Liang
Zhenglin joined DIAL in 2011 as a doctoral student. Since February 2016 he has been working as a research associate.
Zhenglin completed a BEng degree with 1st class honors in electrical and electronic engineering at the Manchester University and a MEng degree in communication and signal processing at the Bristol University. After completing his PhD in January 2016, Zhenglin has been working as a research associate. Part of his research is to help companies, such as Hitachi, to improve performance of their predictive maintenance of their asset management systems.
Currently, he is working on the maintenance optimization for bridge portfolio as a part of the Centre for Smart Infrastructure and Construction (CSIC) project.
- Condition based maintenance and predictive maintenance
- Stochastic process
- Maintenance optimisation
- Operation management
- Machine learning
- System engineering
Zhenglin Liang, Ajith Kumar Parlikad, Rengarajan Srinivansan and Nipat Rasmekomen. "On Fault Propagation in Deterioration of Multi-component Systems" Reliability Engineering and System Safety., vol. 162, pp. 72-80, 2017.
Bin Liu, Zhenglin Liang, Ajith Kumar Parlikad, Min Xie, and Way Kou "Condition-based Maintenance for System with Aging and Cumulative Damage based on Proportional Hazards Model" Reliability Engineering and System Safety, 2017.
Zhenglin Liang, and Ajith Kumar Parlikad. 2015. “A Condition-Based Maintenance Model for Assets with Accelerated Deterioration Due to Fault Propagation.” IEEE Transactions on Reliability, 64(3), pp.972-982.
Zhenglin Liang, and Ajith Kumar Parlikad. 2014. “A Tiered Modelling Approach for Condition-Based Maintenance of Industrial Assets with Load Sharing Interaction and Fault Propagation.” IMA Journal of Management Mathematics, dpu013.
Ajith Kumar Parlikad, and Zhenglin Liang. 2012. “Condition Based Maintenance for Complex Engineering Assets: A Multi-Layered Modelling Approach.” Advanced Maintenance Engineering, 2:73–78.
Zhenglin Liang, Feng Zhang, and Jun Liang. 2010. “A New Adaptive Fault Line Selection Method Based on Multi-Scale Wavelet Packet Decomposition in Non-Solid Earthed Network.” Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific, 1–4.
Zhenglin Liang*, Khashayar Mahani*, Ajith Kumar Parlikad and Mohsen A. Jafari. "Joint optimization of operation and maintenance policies for solar-powered Microgrids" submitted to IEEE Transactions on Sustainable Energy.
Adrià Salvador Palau, Zhenglin Liang, Ajith Kumar Parlikad and Daniel Lütgehetmann "Collaborative Prognostics in Social Asset Networks" submitted to Future Generation Computer Systems.
Zhenglin Liang, Adrià Salvador Palau and Ajith Parlikad "A Data-Driven Approach for Predicting Blow-off Valve Failure in Gas Turbines." to be submitted to Computers in Industry.
Zhenglin Liang and Ajith Kumar Parlikad “A Markovian Model for Power Transformer Maintenance” submitted to International Journal of Electrical Power & Energy Systems.
Zhenglin Liang, Bin Liu, Min Xie, Ajith Parlikad and Duncan McFarlane "A condition-based maintenance model for assets under declining environment." In preparation, to be submitted to European Journal of Operational Research.
Zhenglin Liang and Ajith Parlikad "Systematic Predictive Maintenance Strategy for the District Level Bridge Systems with Budget Constraint." to be submitted to European Journal of Operational Research.