STAFF PROFILE
Dr Wim Verhagen
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.
- Verhoeff, M.,Verhagen, W. (2023). Component Maintenance Planning Optimization in Defense Aviation In: Aerospace, 10, 1 - 24
- Heiets, I.,Kuo, Y.,La, J.,Yeun, R.,Verhagen, W. (2023). Future Trends in UAV Applications in the Australian Market In: Aerospace, 10, 1 - 20
- Verhagen, W.,Santos, B.,Freeman, F.,van Kessel, P.,Zarouchas, D.,Loutas, T.,Yeun, R.,Heiets, I. (2023). Condition-Based Maintenance in Aviation: Challenges and Opportunities In: Aerospace, 10, 1 - 24
- Bieber, M.,Verhagen, W.,Cosson, F.,Santos, B. (2023). Generic Diagnostic Framework for Anomaly Detection—Application in Satellite and Spacecraft Systems In: Aerospace, 10, 1 - 1
- Heijenrath, L.,Verhagen, W. (2023). The Influence of Repair Quality on Aircraft Spare Part Demand Variability In: Aerospace, 10, 1 - 24
- Heiets, I.,Yeun, R.,Verhagen, W.,La, J. (2022). Analysis of Bilateral Air Services Agreement Liberalization in Australia In: Aerospace, 9, 1 - 21
- Scott, M.,Verhagen, W.,Bieber, M.,Marzocca, P. (2022). A Systematic Literature Review of Predictive Maintenance for Defence Fixed-Wing Aircraft Sustainment and Operations In: Sensors, 22, 1 - 31
- Bieber, M.,Verhagen, W.,Santos, B. (2022). The Impact of Metrics on the Choice of Prognostic Methodologies In: AIAA AVIATION 2022 Forum, Chicago, IL, USA, 27 June - 1 July 2022
- Bieber, M.,Verhagen, W. (2022). A Generic Framework for Prognostics of Complex Systems In: Aerospace, 9, 1 - 27
- Bieber, M.,Verhagen, W.,Santos, B. (2021). Data-Driven Prognostics Incorporating Environmental Factors for Aircraft Maintenance In: 2021 Annual Reliability and Maintainability Symposium (RAMS), Florida, United States of America, 24/05/2021 - 27/05/2021
1 PhD Completions5 PhD Current Supervisions
- Aircraft Structural Prognostics and Health Management for Australian Defence Force Sustainment (PhD student: Michael Scott). Funded by: Defence Science Institute Research Higher Degree Student Grant 2017 from (2022 to 2025)