Gas Turbine Engineering Group

Performance and Diagnostics Research

Gas Turbine and Gas Path diagnostics

  • Gas Path Analysis
  • Performance Adaptation
  • Neural Networks
  • Genetic Algorithms
  • Bayesian Belief Networks
  • Sensor Diagnostics
  • Gas Path Prognostics
  • Diagnostic Software Development

Cranfield’s performance and diagnostics engineering history is characterised by close links with the propulsion, power, oil and gas industries. Areas of expertise are performance, diagnostics, selection of equipment, novel power and propulsion cycles, and asset management and life cycle costs. An international client base includes BAE Systems, E.ON, the European Union, EPSRC, MEA, RMC, Alstom, Shell and international defense forces. Our key long standing activities benefit and enhance the relationships with gas turbine users in a wide range of applications.

Contact

Professor Riti Singh

Tel: + 44 (0)1234 754666
Email: r.singh@cranfield.ac.uk