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Sino-German College of Intelligent Manufacturing

Faculties

Mengchu Song

Position
Assistant Professor
Profile
Dr. Mengchu Song received the B.Sc. and M.Sc. degrees in nuclear engineering from Harbin Engineering University, China in 2013 and 2016, respectively. In 2016-2019, he received the Japanese Government MEXT Scholarship to pursue a doctoral degree in Medical Bioengineering in Okayama University, Japan. After graduation, he has worked as a postdoctoral researcher at Technical University of Denmark for more than 4 years, and now is working as an assistant professor in the Sino-German College of Intelligent Manufacturing at the Shenzhen Technology University. His research area involves interdisciplinary fields such as systems engineering, control engineering, and management science, mainly including system safety and reliability, operation & maintenance intelligent decision-making, human – computer interaction, etc. He has been the main investigator for many research projects such as China – EU nuclear power Project, the Japan Society for the Promotion of Science project and the Danish Offshore Technology Centre project. He has published more than 30 papers in international authoritative journals and conferences. He also serves as invited reviewers for many journals.
Research Interest
System Safety and Reliability; Operation & Maintenance Intelligent Decision-making; Human – Computer Interaction.
E-mail
songmengchu@sztu.edu.cn
Telephone
19166243655

1. Education And Work Experience

Ø Education Experience

l 2016-2019, Graduate School of Natural Science and Technology, Okayama University, Japan, Doctor of Philosophy

l 2013-2016, College of Nuclear Science and Technology, Harbin Engineering University, Master of Science

l 2009-2013, College of Nuclear Science and Technology, Harbin Engineering University, Bachelor of Engineering


Ø Work Experience

l 2024-Present, Shenzhen Technology University, Sino-German College of Intelligent Manufacturing, Assistant Professor

l 2019-2024, Department of Electrical and Photonics Engineering, Technical University of Denmark, Postdoctoral Researcher


2. Research Field And Achievements

Ø Project Experience

[1] “Advanced Information Analysis Techniques for Safety Assessment, Operation and Maintenance”, Key member, Danish Offshore Technology Centre, 2021/04-2024/01;

[2] “Water Management for Oil and Gas Platform”, Key member, Danish Hydrocarbon Research and Technology Centre, 2019/10-2021/03;

[3] “Study on the Improvement of Resilience in the Operation of Complex Industrial Plants”, Key member, The Japan Society for the Promotion of Science (JSPS), 2016/10-2019/09;

[4] “Design of Intelligent Main Control Room for Nuclear Power Plants”, Key member, China General Nuclear Power, 2015/04-2016/06;

[5] “Reliability and Verification and Validation of Nuclear Safety I&C Software (RAVONSICS)”, Key member, State Nuclear Power Technology, 2013/09-2014/10.


Ø Selected Publications

Journal Papers

[1] Nardo, M.D., Murino, T., Cammardella A., Wu, J., Song, M. (2024). Catalyzing industrial evolution: A dynamic maintenance framework for maintenance 4.0 optimization. Computers and Industrial Engineering, 182, 109409. (SCI, IF 7.9, JCR Q1)

[2] Song, M., Santos, I.F., Zhang, X., Wu, J., and Lind, M. (2023) Explicit Representation of Mechanical Functions for Maintenance Decision Support. Electronics, 12(20), 4267. (SCI, IF 2.9, JCR Q2)

[3] Song, M., Zhang, X., and Lind, M. (2023). Automatic identification of maintenance significant items in reliability centered maintenance analysis by using functional modeling and reasoning. Computers and Industrial Engineering, 182, 109409. (SCI, IF 7.9, JCR Q1)

[4] Song, M., Reinartz, C., Zhang, X., Thunem, H.P.J., and McDonald, R. (2023). MFM-based alarm root-cause analysis and ranking for nuclear power plants. Nuclear Engineering and Technology, 55(11), 4159 - 4176. (SCI, IF 2.7, JCR Q1)

[5] Wu, J., Song, M., Zhang, X., and Lind, M. (2022). Safeguards identification in computer aided HAZOP study by means of multilevel flow modelling. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2022(ESREL2020 PSAM15). (SCI, IF 2.1, JCR Q3)

[6] Song, M., Lind, M., Yang, J., and Gofuku, A. (2021). Integrative decision support for accident emergency response by combining MFM and Go-Flow. Process Safety and Environmental Protection, 155, 131 - 144. (SCI, IF 7.8, JCR Q1)

[7] Wu, J., Song, M., Zhang, X., and Lind, M. (2021). Identifying Safety Objectives and Functions for Emergency Shutdown in the Design Phase by Using Functional Modelling. Chemical Engineering Transactions, 86, 967 - 972.

[8] Song, M., Gofuku, A., and Lind, M. (2020). Model-based and rule-based synthesis of operating procedures for planning severe accident management strategies. Progress in Nuclear Energy, 123, 103318. (SCI, IF 2.7, JCR Q1)

[9] Song, M., Gofuku, A., and Lind, M. (2019). Synthesis of Valve and Pump Operations in Complex Plants by Using Functional Modeling. IFAC-Papers OnLine, 52(19), 187 - 192. (EI Compendex)

[10] Song, M. and Gofuku, A. (2018). Planning of alternative countermeasures for a station blackout at a boiling water reactor using multilevel flow modeling. Nuclear Engineering and Technology, 50(4), 542-552. (SCI, IF: 2.7, JCR Q1)

[11] Zhang, Y., Yang, K., Song, M., and Yang, M. (2016). Human error analysis of starting CVCS in soft controls in nuclear power plants. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 37(12), 1653 - 1657. (EI Compendex)

[12] Song, M., Yang, M., and Gofuku, A. (2015). Functional modeling for operating procedure tasks of a Chemical and Volume Control System in PWR. Nuclear Safety and Simulation, 6(2), 155 - 166.

[13] Yang, M. and Song, M. (Second author/First author is supervisor) (2014). Study on quantitative software reliability for digital control system. Hedongli Gongcheng/Nuclear Power Engineering, 35(SUPPL.1), 54 - 58. (EI Compendex)

Conference Papers

[14] Song, M. (First author/Corresponding author), Zhang, X., and Lind, M. (2023). Reliability Centered Maintenance for Noncoherent Systems. In: Proceedings of 5th International Conference on System Reliability and Safety Engineering. IEEE, pp. 347-353, 5th International Conference on System Reliability and Safety Engineering, Beijing, China, 20/10/2023. (EI Compendex)

[15] Wu, J., Zhang, X., Song, M., and Lind, M. (2023). Challenges in Functional Modelling for Safety and Risk Analysis. In: Proceedings of the 33rd European Safety and Reliability Conference. Research Publishing Services, pp. 1892-1899, 33rd European Safety and Reliability Conference, Southampton, United Kingdom, 03/09/2023. (EI Compendex)

[16] Gofuku, A. and Song, M. (2023). A systematic selection of counter operation procedures in an unexpected situation. In: Proceedings of 30th International Conference on Nuclear Engineering, ICONE30, American Society of Mechanical Engineers, 30th International Conference on Nuclear Engineering, Kyoto, Japan, 21/05/2023. (EI Compendex)

[17] Song, M. and Zhang, X. (2022). Using Functional Knowledge in Lubricant Condition Monitoring for Diagnostics and Prognostics. In: Proceedings of the 6th International Conference on System Reliability and Safety, ICSRS 2022, Venice, Italy, 23/11/2022 - 25/11/2022, pp. 286 - 291. (EI Compendex)

[18] Song, M. and Lind, M. (2022). Functional Modeling and Reasoning for Reliability Centered Maintenance. In: Proceedings of the 32nd European Safety and Reliability Conference, ESREL 2022, Dublin, Ireland, 28/08/202 2 - 1/09/2022, pp. 642 - 649. (EI Compendex)

19. Song, M. and Zhang, X. (2021). Condition-based Maintenance with Functional Modeling: Challenges and Opportunities. In: Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021, Angers, France, 19/09/20221 - 23/09/2021, pp. 2241 - 2248. (EI Compendex)

[20] Song, M., Wu, J., and Lind, M. (2020). Validating operating manual by reasoning about state transitions through system’s function models. In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, ESREL 2020/PSAM 2020, Venice, Italy, 01/11/2020 - 05/11/2020, pp. 2517 - 2524. (EI Compendex)

[21] Wu, J., Song, M., Zhang, X., and Lind, M. (2020). A procedure for modelling and verification of safety objectives and functions. In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, ESREL 2020/PSAM 2020, Venice, Italy, 01/11/2020 - 05/11/2020, pp. 1647 - 1654. (EI Compendex)

[22] Song, M. and Lind, M. (2020). Towards Automated Generation of Function Models from PIDs. In: Proceedings of 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, Austria, 08/09/2020 - 11/09/2020, pp. 1081-1084. (EI Compendex)

[23] Song, M., Zhang, X., Lind, M., and Gofuku, A. (2019). A rule-based approach for planning counter-actions with multilevel flow modeling. In: Proceedings of the 27th International Conference on Nuclear Engineering, ICONE27, Tsukuba, Ibaraki, Japan, 19/05/2019 - 24/05/2019. (EI Compendex)

[24] Song, M., Yang, M., and Zou, B. (2015). Multilevel flow modeling for operating procedure tasks of CVCS. In: Transactions of the American Nuclear Society, ANS 2015, San Antonio, Texas, 08/11/2015 - 12/11/2015, pp. 439 - 442. (EI Compendex)

[25] Zou, B., Yang, M., and Song, M. (2015). Integrated platform for analysis and design of physical protection system. In: Transactions of the American Nuclear Society, ANS 2015, San Antonio, Texas, 08/11/2015 - 12/11/2015, pp. 425 - 427. (EI Compendex)


3. Teaching Summary

l Signals and Systems;

l Technical Information Retrieval;

l Scientific Writing.


Contact

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Zip code：518118

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