Condition Monitoring Group is focused on developing and applying instrumentation to non-destructive (or semi-destructive) testing of materials and structures.

Green condition Monitoring

The Condition Monitoring Group aims to exploit the potential application of various non-destructive testing (NDT) techniques and condition monitoring (CM) of materials and structure for future generation products.

This group is driven by solving problems related to various real life industrial applications. The group has been engaged in research activities in diverse areas of oil and gas related application of condition monitoring techniques. Our research is also aimed at providing some accurate and real-time information pertaining to structural health condition and performance. These are generally used to plan and design maintenance activities, increase the safety, and to broaden the knowledge of the structure being monitored. These are also concerned with determining the performance, durability and safety of equipment that is subjected to a range of operating conditions during their real use. The group is equipped with acoustic emission (AE), eddy current, laser vibrometer, and ultrasonic testing (UT) systems for experimental measurements.

Some of the current application areas include:Condition Monitoring1

  • Monitoring pipeline erosion and sand transport and solid particle impact
  • Offshore wind turbine failure analysis 
  • Characterisation of cement based materials
  • Composite materials failure analysis for oil and gas applications

Group members interests in the field of:

  • Condition monitoring in oil and gas applicationsCondition Monitoring2
  • Defect detection and location
  • Measurement of stress and strain
  • Characterisation of vibration
  • Corrosion monitoring
  • Monitoring of engines
  • Monitoring of thermal spraying

Current Projects:

Analysis of sand monitoring in petroleum fluid using acoustic emission

Presence of sand in the production is one of the challenges faced in the oil and gas industry.

One of the subsequent problems caused by sand production is erosion. Sand erosion prediction is a key aspect of effective sand management. This project provides a potential in sand erosion prediction by appropriate acoustic emission (AE) based sand monitoring technique(s).

Researcher: Amin Hedayetullah

Maintenance optimisation of offshore wind turbines

Offshore Wind Turbine (OWT) maintenance costs in between 20 – 35% of the lifetime power generation cost.

Many techniques and tools that are being developed to curtail this cost are challenged by the stochastic climatic conditions of offshore location and the wind energy market. A generic and OWT centric software packages that can smartly adapt to the requirement of any offshore wind farm and optimise its maintenance, logistics and spares-holding while giving due consideration to offshore climate and market conditions will enable OWT operators to centralise their operation and maintenance planning and make significant cost reductions.

This work aims to introduce the idea of a comprehensive tool that can meet the above objectives, and give examples of data and functions required. The package uses wind turbine condition monitoring data to anticipate component failure and proposes a time and maintenance implementation strategies that is developed as per the requirements of HSE and government regulations for working in the offshore locations and at heights. The software database contains key failure analysis data that will be an invaluable asset for future researchers, turbine manufacturers and operators that will optimise OWT power generation cost and better understand OWT working. The work also lists some prevalent tools and techniques developed by industries and researchers for the wind industry.

Researcher: Yashwant Sinha

Structure, strength and defect characterisation of cement based materials

This project provides a potential of using various non-destructive testing (NDT) techniques strength and defect characterisation of cement based materials.

Researcher: Ajmol Choudhury

Characterisation of composite bond adhesive strengths for oil and gas processing applications

Practically, a composite has a heterogeneous structure, and failure often originates from micro-cracks and/or in-efficient strength between the mating composite surfaces.

Recent advances in composite materials have let design engineers meet structural integrity and higher strength requirements (e.g. oil and gas corrosive environment applications). Also, the advancement of increased strength poses a problem in that there is no well-established experimental methodology to measure it. Therefore, non-destructive/semi-destructive and simulation based methodology development has been undergoing to potentially provide a suitable method for assessing the quality of composite structures.

Researcher: Anil Prathuru

Theme Leader

  • Iain Steel

    Prof Iain Steel

    Professor J. A. (Iain) Steel is the Head of the RGU School of Engineering. He is a Chartered Engineer and a Fellow of the Energy Institute.  

  • Staff

  • Ghazi Droubi

    Ghazi Droubi Profile

    Dr Ghazi Droubi is a lecturer in Mechanical Enginnering  

  • Nadimul Faisal


    Dr. Nadimul H Faisal is a Lecturer in Mechanical Engineering.  

  • Sha Jihan

    Image Unavailable

    Dr Jihan is a lecturer within the school of engineering.  

  • Students

  • Alasdair Crawford

    Image Unavailable

    Alasdair is working towards his PhD and currently holds his MEng.  

  • Yashwant Sinha

    Yashwant Sinha

    Research interests include using condition monitoring in failure diagnostic, optimisation of service maintenance, failure analysis, prognostic maintenance, software development, ERP software development, computational modelling, lubricating oil analysis and management of service maintenance.  

  • Key Publications

    1. Y. Sinha, J. A. Steel, J. A. Andrawus and K. Gibson, A SMART Software Package for Maintenance Optimisation of Offshore Wind Turbines, Wind Engineering, 37, 2013, p. 569-577. 
    2. P. Nivesrangsan, J. A. Steel and R. L. Reuben, AE mapping of engines for spatially-located time series Part II: Spatial Reconstitution, Mechanical Systems and Signal Processing, 21, 2007, p. 1084-1102. 
    3. M. Shehadeh, J. A. Steel and R.L. Reuben, Acoustic Emission source location for steel pipe and pipeline applications: the rôle of arrival time estimation Proc. IMechE, Part E, Journal of Process Mechanical Engineering, 220, 2006, p. 212-133.
    4. M. ElGhamry, J. A. Steel and R. L. Reuben, Indirect measurement of indicated power of diesel engines using acoustic emission, Mechanical Systems and Signal Processing. 19, 2005, p. 751-765.
    5. J. A. Steel and R. L. Reuben, Recent developments in monitoring of engines using acoustic emission, IMechE J. Strain Analysis (special issue on AE, invited paper), 40, 2005, p. 45-57.
    6. N. H. Faisal and R. Ahmed, Acoustic emission analysis of Vickers indentation fracture of cermet and ceramic coatings, Measurement Science and Technology, 22, 2011, art no. 125704 (20pp).
    7. N. H. Faisal, R. Ahmed, R. L. Reuben, Indentation testing and its acoustic emission response: applications and emerging trends, International Materials Reviews, 56, 2011, p. 98-142.
    8. N. H. Faisal, R. L. Reuben and R. Ahmed, An improved measurement of Vickers indentation behaviour through enhanced instrumentation, Measurement Science and Technology, 22, 2011, art no. 015703 (18pp).
    9. N. H. Faisal, R. Ahmed, R. L. Reuben, B. Allcock, Acoustic emission monitoring and analysis of HVOF thermal spraying process, Journal of Thermal Spray Technology, 20, 2011, p. 1071-1084. 
    10. M. G. Droubi, R. L. Reuben and G. White, Acoustic Emission monitoring of abrasive particle impacts on carbon steel. Proceedings IMechE, Part E, Journal of Process Mechanical Engineering, 226, 2011, p. 187-204.
    11. M. G. Droubi, R. L. Reuben and G. White, Statistical distribution Models for monitoring Acoustic Emission of abrasive particle impacts on carbon steel. Journal of Mechanical Systems and Signal Processing, 30, 2012, p. 356-372.