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Wed, 01 November, 2023

Student Name

Sumit Kumar

Research Title

Development of a System for Automatic Defect Recognition from Ultrasonic Data


Artificial Intelligence, Machine Leaming, Data Science, Structure Corrosion Crack, Structure Health Monitoring

Relevant Industries

Oil & Gas, Energy, Offshore, Aerospace


TWI Core Research Programme

Affiliated University

Brunel University London

Industry Supervisor(s)

Dr Channa Nageswaran (TWI Ltd) 

Academic Supervisor(s)

Dr Qingping Yang (Brunel University London)

Start Date

1 November 2023

Project Outline

The project is primarily focused on Stress Corrosion Cracking (SCC), which is a type of cracking that is caused due to the simultaneous influence of static tensile stress, a corrosive environment and a susceptible material.

This specific combination makes SCC a significant area of study in the field of structural integrity and materials science.

This type of cracking poses a significant risk as it can progress rapidly and, if undetected, ultimately result in catastrophic failure of the structure, therefore detecting and mitigating stress corrosion cracking is crucial to ensuring the safety of structures and their components.

Safety requirement necessitates the structure health monitoring (SHM) system which is a method of monitoring structure health. It is a widely used system for improving structural reliability and life cycle management.

An SHM system actively functions to prevent catastrophic failures and extend the life of the structure by reporting on structure health and indicating when specific components require replacement. The objective is to develop an automated SHM based on artificial intelligence (AI)/machine learning (ML).

Industry is calling for the development of a system that can autonomously monitor and analyse structural conditions using Al/ML algorithms. By integrating these advanced technologies, the aim is to enhance the capabilities of the SHM system to detect, assess, and predict structural health concerns in real-time.

The automation aspect ensures that the SHM system can operate seamlessly without constant human intervention. The utilisation of Al and ML enables the system to learn from data patterns, identify anomalies, and provide accurate assessments of structural integrity.


  • Santosh Kumar and Sumit Kumar. 2011. Automated taxi/cab system using A* algorithm. In Proceedings of the International Conference on Advances in Computing and Artificial Intelligence {ACAi '11). ACM, New York, NY, USA, 13-20. DOl= 2007056
  • Kumar S., Singh N., Sairam A.S. (2011) Key Validation Using Weighted-Edge Web of Trust Model. In: Das V.V., Thomas G., Lumban Gaol F. (eds) Information Technology and Mobile Communication. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg
  • Kumar S., Kumar S., Nandi S. (2011) Multi-density Clustering Algorithm for Anomaly Detection Using KDD'99 Dataset. In: Abraham A., Lloret Mauri J., Buford, J.F., Suzuki J., Thampi S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 190. Springer, Berlin, Heidelberg
  • Nishant Mathur, Sumit Kumar, Santosh Kumar, and Rajni Jindal," The Base Strategy for ID3 Algorithm of Data Mining Using Havrda and Charvat Entropy Based on Decision Tree", International Journal of Information and Electronics Engineering, Vol. 2, No. 2, March 2012.
  • Mitra R., Kumar S., Kumar S. (2013) The FIRMER-Square Contour Algorithm. In: DasV.V., Chaba Y. (eds) Mobile Communication and Power Engineering. Communications in Computer and Information Science, vol 296. Springer, Berlin, Heidelberg
  • Kumar, S., Kumar, S., Nandi, S. (2011). Copyright Protection in Digital Multimedia. In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advances in Networks and Communications. CCSIT 2011. Communications in Computer and Information Science, vol 132. Springer, Berlin, Heidelberg. /978-3-642- 17878-8_ 46
  • Kumar, Sumit & Santosh, Kumar & Nandi, Sukumar. (2011). Stage Staffing Scheme for Copyright Protection In Multimedia. International Journal of Network Security & Its Applications. 3. 10.5121/ijnsa.2011.3211.