Dr Wim Verhagen is a Senior Lecturer in the School of Engineering, teaching and researching in aircraft maintenance, with a particular focus on predictive maintenance and decision support.
Dr Verhagen is an academic within the Aerospace Engineering and Aviation Discipline in the School of Engineering. He is responsible for teaching in aircraft maintenance, including theoretical and practical approaches towards prediction, planning, execution and control of maintenance.
Dr Verhagen's research covers predictive maintenance and decision support. With respect to predictive maintenance, Dr Verhagen's research efforts focus on the development, implementation and validation of data-driven and hybrid diagnostic and prognostic models for aircraft systems. With respect to decision support, his research covers a comprehensive and integrated set of models to streamline and optimize maintenance planning, execution and control on operational and tactical time horizons.
Dr Verhagen has worked extensively with industry and in collaborative research projects, as part of his former assistant professorship at his alma mater TU Delft and currently as part of RMIT. Highlights include being TUD's principal investigator on the Clean Sky 2 AIRMES project and project co-coordinator and co-PI on the 5.6 million euro H2020 ReMAP. Dr Verhagen is responsible for the supervision of undergraduate and postgraduate research students, and has over 60 publications that can be found at Web of Science, Scopus, Google Scholar and ResearchGate. His ORCID ID is https://orcid.org/0000-0001-7593-9109.
- PhD (Aerospace Engineering), TU Delft, 2013
- MSc (Aerospace Engineering, cum laude), TU Delft, 2008
- BSc (Aerospace Engineering), TU Delft, 2006
- Clean Sky 2 AIRMES / ADVANCE consortium (including TAP Portugal (coordinator), Airbus, Thales, Meggitt, Honeywell, DLR, a.o.)
- Horizon 2020 ReMAP consortium (including KLM, UTRCI, Embraer, ATOS, ONERA, a.o.)
- National industry collaborations within The Netherlands, including NLR, RNLAF, KLM E&M, Fokker Services, a.o.
- International industry collaborations, including Cargolux, Qantas, Kenya Airways, NASA, a.o.
- Deng, Q.,Santos, B.,Verhagen, W. (2021). (In Press) A novel decision support system for optimizing aircraft maintenance check schedule and task allocation In: Decision Support Systems, , 1 - 16
- Koornneef, H.,Verhagen, W.,Curran, R. (2021). A web-based decision support system for aircraft dispatch and maintenance In: Aerospace, 8, 1 - 19
- Vink, J.,Santos, B.,Verhagen, W.,Medeiros, I.,Filho, R. (2020). Dynamic aircraft recovery problem - An operational decision support framework In: Computers and Operations Research, 117, 1 - 15
- Zhao, X.,Verhagen, W.,Curran, R. (2020). Disposal and Recycle Economic Assessment for Aircraft and Engine End of Life Solution Evaluation In: Applied Sciences, 10, 1 - 24
- Li, R.,Verhagen, W.,Curran, R. (2020). Stakeholder-oriented systematic design methodology for prognostic and health management system: Stakeholder expectation definition In: Advanced Engineering Informatics, 43, 1 - 20
- Massart, P.,Dhanisetty, V.,Kassapoglou, C.,Verhagen, W.,Curran, R. (2020). Deducing the physical characteristics of an impactor from the resultant damage on aircraft structures In: International Journal of Solids and Structures, 200-201, 94 - 105
- Li, R.,Verhagen, W.,Curran, R. (2020). Toward a methodology of requirements definition for prognostics and health management system to support aircraft predictive maintenance In: Aerospace Science and Technology, 102, 1 - 20
- Koornneef, H.,Verhagen, W.,Curran, R. (2020). A decision support framework and prototype for aircraft dispatch assessment In: Decision Support Systems, 135, 1 - 10
- Thijssens, O.,Verhagen, W. (2020). Application of Extended Cox Regression Model to Time-On-Wing Data of Aircraft Repairables In: Reliability Engineering & System Safety, 204, 1 - 11
- Verhagen, W.,Oudkerk, T. (2020). Use of textual elements to improve reliability prediction for aircraft component behavior In: Proceedings of the 27th ISTE International Conference on Transdisciplinary Engineering (TE2020), Online, 6 - 10 July 2020
2 PhD Current Supervisions