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prof.dr.ir. T. Tinga (Tiedo)

Full Professor Dynamics based Maintenance

About Me

Tiedo Tinga (1973) is a professor in Dynamics based Maintenance at the faculty of Engineering Technology, with a background in Materials Science and Mechanical Engineering. His research focuses on the detection and prediction of failures in systems, with the aim of developing smart maintenance concepts, like Predictive Maintenance. The is achieved by combining the Physics of Failure, thorough understanding of the (dynamic) system behaviour and advanced (condition) monitoring techniques, as well as data science and artificial intelligence. 

Expertise

Engineering & Materials Science
Corrosion
Fatigue Damage
Health
Monitoring
Predictive Maintenance
Structural Health Monitoring
Chemistry
Abrasive
Physics & Astronomy
Abrasives

Ancillary Activities

  • Consultinga
    Incidenteel verzorgen van advies en cursussen
  • Nederlandse Defensie Academie
    Professor Life Cycle Management

Publications

Recent
Keizers, L. S. , Loendersloot, R. , & Tinga, T. (2022). Atmospheric corrosion prognostics: Predicting the Unpredictable?. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.
Heerink, N. , Loendersloot, R. , & Tinga, T. (2022). Predictive Maintenance Models for Military Aircraft Systems. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.
Chidambaram, N. , Loendersloot, R., Yntema, D. , & Tinga, T. (2022). Estimation of the shape and size of interaction volume for non-collinear wave mixing inspections in PVC. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.
Bruinsma, S. , Tinga, T., Geertsma, R. , & Loendersloot, R. (2022). Feature Selection for Failure Recognition: Comparing Vibration Analysis and Motor Current Signature Analysis. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.
Ribeiro Marinho, N. R. M. , Loendersloot, R. , Tinga, T., & Grooteman, F. (2022). Dynamics-based impact identification method for composite structures. In R. A. M. F. van Outvorst, & A. J. J. T. van Litsenburg (Eds.), Twenty-fifth Engineering Mechanics Symposium, October 25-October 26, 2022. Hotel Papendal, Arnhem (pp. 51-51). Eindhoven University of Technology.
Vos, P. , Tinga, T., & Hartvelt, F. (2022). Health monitoring for a helicopter Environmental Control System. 1st International Conference for CBM in Aerospace, Delft, Netherlands.
de Vos, P., Somers, L. M. T. , Tinga, T., Foekema, E. M., van der Zwaan, B., & Negenborn, R. R. (2022). The AmmoniaDrive research project. SWZ|Maritime Newsletter, 2022(July/August), 24-28. https://swzmaritime.nl/news/2022/09/15/the-ammoniadrive-project-explained-ammonia-as-a-marine-fuel-done-right/
Habtour, E. , Di Maio, D., Masmeijer, T. , Gonzalez, L. C. , & Tinga, T. (2022). Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 5(2), [021005]. https://doi.org/10.1115/1.4052420

UT Research Information System

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands