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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, using the Physics of Failure, thorough understanding of the (dynamic) system behaviour and advanced monitoring techniques. 

Expertise

Engineering & Materials Science
Health
Monitoring
Predictive Maintenance
Structural Health Monitoring
Wear Of Materials
Chemistry
Abrasive
Physics & Astronomy
Abrasives
Damage

Ancillary Activities

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

Publications

Recent
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

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