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

Hoogleraar Dynamics based Maintenance


Engineering & Materials Science
Fatigue Damage
Predictive Maintenance
Structural Health Monitoring
Physics & Astronomy


  • Consultinga
    Incidenteel verzorgen van advies en cursussen
  • Nederlandse Defensie Academie
    Professor Life Cycle Management
  • NLR (Netherlands Aerospace Center)
    Adviescommissie Aerospace Vehicles NLR


Ribeiro Marinho, N. , Loendersloot, R. , Tinga, T., Grooteman, F., & Wiegman, J. W. (2023). A Comparison of Optical Sensing Systems with Piezo-Electric Sensors for Impact Identification of Composite Plates. In S. Farhangdoust, A. Guemes, & F-K. Chang (Eds.), Proceedings of the 14th International Workshop on Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability (pp. 1127-1133). DEStech Publications, Inc.
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
Jimenez-Roa, L. A., Heskes, T. , Tinga, T. , & Stoelinga, M. I. A. (2023). Automatic inference of fault tree models via multi-objective evolutionary algorithms. IEEE transactions on dependable and secure computing, 20(4), 3317-3327. Advance online publication. https://doi.org/10.1109/TDSC.2022.3203805
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.

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