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

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.

Engineering & Materials Science

# Corrosion
# Fatigue Damage
# Health
# Monitoring
# Predictive Maintenance
# Structural Health Monitoring

Chemistry

# Abrasive

Physics & Astronomy

# Abrasives

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

Tinga, T., Homborg, A. M. , & Rijsdijk, C. (2023). Data-driven maintenance of military systems: Potential and challenges. In P. B. M. J. Pijpers, M. Voskuijl, & R. Beeres (Eds.), Towards a data-driven military: A multidisciplinary perspective (pp. 73-96). Leiden University Press. https://doi.org/10.24415/9789087284084

Meghoe, A. A. , Loendersloot, R. , & Tinga, T. (2023). Validation of a physics-based prognostic model with incomplete data: a rail wear case study. International Journal of Prognostics and Health Management, 14(1), 1-16. [3283]. https://doi.org/10.36001/ijphm.2023.v14i1.3283

Tiddens, W. W. , Braaksma, J. , & Tinga, T. (2023). Decision Framework for Predictive Maintenance Method Selection. Applied Sciences, 13(3), [2021]. https://doi.org/10.3390/app13032021

Meghoe, A. A. , Loendersloot, R. , & Tinga, T. (2022). Uncertainty propagation in rail wear prediction using an analytical method and field observations. Paper presented at Fifth international conference on railway technology, Montpellier, France.

Ribeiro Marinho, N. R. M. , Loendersloot, R. , Tinga, T., & Grooteman, F. (2022). Impact identification method for composite structures: A structured approach for a full-scale aircraft component. Poster session presented at 25th Engineering Mechanics Symposium, EM 2022, Arnhem, Netherlands.

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.

See all research output of this employee

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.