Wear evolution modelled in rolling bearingsIdriss El-Thalji has studied wear fault detection and presents in his dissertation a combined model for contact mechanics and machine dynamics. The research has attracted widespread scientific interest due to the fact that it covers the whole wear evolution process.
The fault features result mainly from the topographical changes that form during the wear evolution process. Wear fault detection can be enhanced by understanding the contact physics of the wear fault and their associated dynamic responses.
El-Thalji’s research results can be applied to studying the fault features of wear evolution over the entire lifetime and developing innovative monitoring and prognosis tools that can cope with the changes of the fault features throughout the lifetime. These research results show great potential for a broad range of industrial machines which suffer from early-age wear-related failures.
Public defence of a doctoral dissertation on Thursday, 26 May
The doctoral dissertation of Lic (Tech) Idriss El-Thalji in the field of condition monitoring entitled ‘Dynamic Modelling and Fault Analysis of Wear Evolution in Rolling Bearings’ will be publicly examined at the Department of Mechanical Engineering and Industrial Systems of Tampere University of Technology (TUT) in Festia, Small Auditorium 1 (Korkeakoulunkatu 8, Tampere) at 12 noon on Thursday, 26 May 2016.
The opponent will be Professor David Mba (London South Bank University, UK). Professor Seppo Virtanen from the Department of Mechanical Engineering and Industrial Systems at TUT will act as Chairman.
Idriss El-Thalji (34) comes from Anjara, Jordan, and he has worked as a researcher at the Machine Health Department of VTT during his doctoral studies.
The dissertation is available online at: https://tutcris.tut.fi/portal/en/publications/dynamic-modelling-and-fault-analysis-of-wear-evolution-in-rolling-bearings(b1cb0545-69bc-444e-a399-4cea1b975b9d).html
Further information: Idriss El-Thalji, tel. +358 46 562 7519, firstname.lastname@example.org