In this webinar, Dr Gbanaibolou Jombo, Senior Lecturer in Machine Performance and Structural Integrity at the University of Hertfordshire, explores detecting and analysing machine anomalous operation, using acoustic-based approaches.

Sound signals from machines contain substantial relevant health information; however, acoustic signals from machines operating in an industrial environment can be challenging.

Dr Gbanaibolou Jombo’s research focuses on diagnostics, prognostics, and reliability of engineering systems. He has been involved in consultancy with several companies and provides expertise in noise and vibration, machine condition monitoring, and structural health monitoring. 

This presentation is an excellent source of insight for engineering professionals who specialise in maintenance and diagnostics.