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

Engineering & Materials Science

# Health
# Monitoring
# Predictive Maintenance
# Structural Health Monitoring
# Wear Of Materials

Chemistry

# Abrasive

Physics & Astronomy

# Abrasives
# Damage

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

Gergely, A. (2022). Development of Sensor Technology & Maintenance Concepts for Corrosion-Related Maintenance. University of Twente.

Tiddens, W. W. , Braaksma, J. , & Tinga, T. (2022). Exploring predictive maintenance applications in industry. Journal of quality in maintenance engineering, 28(1), 68-85. https://doi.org/10.1108/JQME-05-2020-0029

Keizers, L. S. , Loendersloot, R. , & Tinga, T. (2021). Unscented Kalman Filtering for Prognostics Under Varying Operational and Environmental Conditions. International Journal of Prognostics and Health Management, 12(2), 1-20. https://doi.org/10.36001/ijphm.2021.v12i2.2943

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.

Mostafa, N. , Di Maio, D. , Loendersloot, R. , & Tinga, T. (2021). Extracting the time-dependent resonances of a vehicle–bridge interacting system by wavelet synchrosqueezed transform. Structural control & health monitoring, 28(12), 1-24. [e2833]. https://doi.org/10.1002/stc.2833

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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