Structural and machine condition monitoring

Health monitoring of structures and machines

Research focus

Our research is concern with the health monitoring of structures and machines, specifically:

  • Online Health Monitoring Techniques for Turbine Blades;
  • Vibration-based Faults Diagnosis with a reduced number of on-bearing vibration sensors and /or on-shaft wireless MEMS Accelerometer;
  • Delamination and Damage Detection in Composites and Structures;
  • Delamination and Damage Detection in Composites and Structures;
  • Gear Boxes and Anti-friction Bearings Diagnosis;
  • Motor Current Signature Analysis (MCSA) for Faults Diagnosis in Motor;
  • Combustion Monitoring in Diesel Engines.

Externally funded projects

  • The use of Parameter Identification Methods for the Condition Monitoring of Electric Motor drives. 2005-2009 PhD scholarship funded by Thailand Government.
  • Vibration based Health Monitoring Technique for Composite Structures. 2007-2011 PhD scholarship funded by Pakistani Government.
  • Data Fusion in Condition Monitoring for Gear Systems. 2007-2012 EngD funded by EPSRC and QinetiQ, UK. 
  • Vibration based Blade Health Monitoring of Rotating Machines. 2009-2014 PhD scholarship funded by Libyan Government.
  • Vibration based Condition Monitoring of Rotating Machines. 2009-2014 PhD scholarship funded by Libyan Government.
  • MEMS-based Mechanical Structure Monitoring System. 2010-2013 PhD scholarship funded by Egyptian Government.
  • Combined Vibration and Thermal Analysis for Early Fault Diagnosis in Rotating Machinery. 2012-2015 PhD scholarship funded by Common Wealth, UK. 
  • Condition Monitoring of Rotating Machines. 2012-2015 PhD scholarship funded by Nigerian Government.
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