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Dr. Geng Feng

Lecturer

School of Engineering

C&T Building, CM027

+44 (0) 1772 89 4221

gfeng@uclan.ac.uk

Subject Areas: Energy and Sustainability, Engineering

Dr. Geng Feng is a Lecturer in Engineering and is research active within the area of industrial systems engineering. Dr. Feng is open to PhD applications who have interests in his research fields.

Full Profile

Dr. Geng Feng joined in the School of Engineering, University of Central Lancashire as a Lecturer in 2018. He has been working as a researcher in University of Bristol and Thales UK Ltd after he obtained his Ph.D. degree from University of Liverpool in 2017.

Dr Feng’s main research interests include:

  • RAMS (Reliability, Availability, Maintainability and Safety) of complex systems
  • Imprecision theory and applied mathematics
  • Sensitivity analysis and component importance measures
  • Design for reliability and disaster mitigation

Qualifications:

  • Ph.D. Industrial Systems Engineering, University of Liverpool, 2017

External Activities

Guest Editor for ASCE-ASME Journal of Risk and Uncertainty in Engineering System, Part B: Mechanical Engineering;

Reviewer for Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability; Reliability Engineering & System Safety; ASCE-ASME Journal of Risk and Uncertainty in Engineering System, Part B: Mechanical Engineering.

Teaching Activities

  • Mechanical Systems Reliability (MP3701);
  • Design and Operation of Sustainable Systems (MP4701);
  • Research Methods (EL4166).

Memberships

  • Member of International Council on Systems Engineering (Certificate Number: 269949)
  • Associate Member of European System Reliability Associate

Research

Efficient Reliability and Sensitivity Analysis of Complex Systems and Networks with Imprecise Probability

  • RAMS of Industrial Systems;
  • Component Importance Measures;
  • Probability Theory;
  • Design for Reliability and Disaster Prevention

Publications

Journals

Feng, Geng (2019) Survival Signature-based Reliability Approach for Complex Systems Susceptible to Common Cause Failures. International Journal of Reliability, Quality and Safety Engineering . ISSN 0218-5393

George-Williams, Hindolo , Feng, Geng , Coolen, Frank PA , Beer, Michael and Patelli, Edoardo (2018) Extending the survival signature paradigm to complex systems with non-repairable dependent failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability . 1748006X1880808. ISSN 1748-006X

Feng, Geng (2018) Sensitivity Analysis for Systems under Epistemic Uncertainty with Probability Bounds Analysis. International Journal of Computer Applications, 179 (31). pp. 1-6. ISSN 0975-8887

Patelli, Edoardo , Feng, Geng , Coolen, Frank P.A. and Coolen-Maturi, Tahani (2017) Simulation methods for system reliability using the survival signature. Reliability Engineering & System Safety, 167 . pp. 327-337. ISSN 0951-8320

Feng, Geng , Patelli, Edoardo , Beer, Michael and Coolen, Frank P.A. (2016) Imprecise system reliability and component importance based on survival signature. Reliability Engineering & System Safety, 150 . pp. 116-125. ISSN 0951-8320