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

Hoogleraar Dynamics based Maintenance


Engineering & Materials Science
Predictive Maintenance
Structural Health Monitoring
Wear Of Materials
Physics & Astronomy


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


Rijsdijk, C., van der Sluis, W. , & Tinga, T. (2021). Autonomous fault detection and diagnostics, an enabler to control risks of military operations. In Proceedings of the 58th ESReDA Seminar: Using Knowledge to Manage Risks and Threats: Practices and Challenges European Safety and Reliability Association.
Tinga, T. (2021). Predicting critical failures using physics of failures: opportunities and challenges. In AVT-356 Research Symposium on Physics of Failure for Military Platform Critical Subsystems (Vol. AVT-356, pp. 1-13). [13] NATO Science & Technology Organization.
Jimenez-Roa, L. A., Heskes, T. , Tinga, T. , & Stoelinga, M. I. A. (2021). Automatic inference of fault tree models via multi-objective evolutionary algorithms. Manuscript submitted for publication.
Alves da Silveira, N. N. , Loendersloot, R. , Meghoe, A. A. , & Tinga, T. (2021). Data Selection Criteria for the Application of Predictive Maintenance to Centrifugal Pumps. In Proceedings of the 6th European Conference of the Prognostics and Health Management Societ (pp. 372-380). (Archives of the PHM Society European Conference; Vol. 6, No. 1). http://papers.phmsociety.org/index.php/phme/article/view/2839
Hertog, J. , & Tinga, T. (Ed.) (2021). Maak niet alles voorspelbaar. Europoort Kringen, 2021(5), 22-27.
Meghoe, A. A., Jamshidi, A. , Loendersloot, R. , & Tinga, T. (2021). A hybrid predictive methodology for head checks in railway infrastructure. Proceedings of the Institution of Mechanical Engineers. Part F: Journal of rail and rapid transit, 235(10), 1312-1322. https://doi.org/10.1177/0954409721993611

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