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

Hoogleraar Dynamics based Maintenance

Expertises

Engineering & Materials Science
Corrosion
Fatigue Damage
Health
Monitoring
Predictive Maintenance
Structural Health Monitoring
Chemistry
Abrasive
Physics & Astronomy
Abrasives

Nevenactiviteiten

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

Publicaties

Recent
Habtour, E. , Di Maio, D. , Masmeijer, T. , Gonzalez, L. C. , & Tinga, T. (2022). Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 5(2), [021005]. https://doi.org/10.1115/1.4052420
Keizers, L. S. , Loendersloot, R. , & Tinga, T. (2022). Atmospheric Corrosion Prognostics Using a Particle Filter. In Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (pp. 1259-1266) https://rpsonline.com.sg/rps2prod/esrel22-epro/html/R22-08-170.xml
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.

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