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, with the aim of developing smart maintenance concepts, like Predictive Maintenance. This is achieved by combining the Physics of Failure, thorough understanding of the (dynamic) system behaviour and advanced (condition) monitoring techniques, as well as data science and artificial intelligence.
Expertise
Physics
- Frequencies
- Detection
- Model
- Utilization
- Impact
Engineering
- Predictive Maintenance
Computer Science
- Case Study
- Application
Organisations
Ancillary activities
- Nederlandse Defensie AcademieProfessor Life Cycle Management
- NLR (Netherlands Aerospace Center)Adviescommissie Aerospace Vehicles NLR
- ConsultingaIncidenteel verzorgen van lezingen en/of advies
Publications
2026
ISA-PHM – a Standardized Format for Storing and Utilizing Meta-data of Diagnostic and Prognostic Tests (2026)International Journal of Prognostics and Health Management, 17(1), 1-20. Article 4748 (E-pub ahead of print/First online). Tinga, T., Keizers, L. S., van Riel, W., Houwaart, N. M. & Helmus, J. R.https://doi.org/10.36001/ijphm.2026.v17i1.4748Incorporating time dependence into a fault signature matrix to support root cause identification and fault propagation analysis (2026)Reliability engineering & system safety, 272(Part 1), 1-17. Article 112469 (E-pub ahead of print/First online). Arellano Ortega, L. J., Meghoe, A. A., Loendersloot, R. & Tinga, T.https://doi.org/10.1016/j.ress.2026.112469
2025
Predicting Voltage Degradation in Direct Ammonia-Fueled SOFCs: Effect of Nickel Nitriding and Coarsening (2025)[Contribution to conference › Poster] 28th Engineering Mechanics Symposium, EM 2025. Arellano Ortega, L. J., Meghoe, A. A., Loendersloot, R. & Tinga, T.Automated tacholess rotational speed estimation on asynchronous motors for improved vibration analysis (2025)Results in Engineering, 27. Article 106475. Bruinsma, S., Geertsma, R., Loendersloot, R. & Tinga, T.https://doi.org/10.1016/j.rineng.2025.106475Bond graphs for quantitative fault diagnostics to support Bayesian filtering-based failure prognostics (2025)Mechanical systems and signal processing, 237, 1-25. Article 113093. Keizers, L. S., Loendersloot, R. & Tinga, T.https://doi.org/10.1016/j.ymssp.2025.113093Improving Fault Diagnosis Efficiency by Integrating FMEA and FTA in a Compact Fault Signature Matrix (2025)In Proceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference : Advancing risk, safety and reliability sciences, with applications - from component, to system, to society (pp. 937-944). Research Publishing Services. Arellano Ortega, L. J., Loendersloot, R., Meghoe, A. A. & Tinga, T.https://rpsonline.com.sg/proceedings/esrel-sra-e2025/html/ESREL-SRA-E2025-P2812.htmlPractical Application of Predictive Maintenance - Solving the Challenges (2025)In Proceedings of the 35th European Safety and Reliability Conference & the 33rd Society for Risk Analysis Europe Conference (pp. 1586-1593). Article P8303. Research Publishing Services. Tinga, T.https://doi.org/10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P8303-cdApplication of transfer learning on physics-based models to enhance vessel shaft power predictions (2025)Ocean engineering, 323. Article 120540. Mavroudis, S. & Tinga, T.https://doi.org/10.1016/j.oceaneng.2025.120540Non-collinear wave mixing to determine physical ageing in PVC pipelines (2025)NDT & E international, 150. Article 103276. Chidambaram, N., Yntema, D., Tinga, T. & Loendersloot, R.https://doi.org/10.1016/j.ndteint.2024.103276Evaluating sensor performance for impact identification in composites: a comprehensive comparison of FBGs with PZTs (2025)Structural health monitoring (E-pub ahead of print/First online). Ribeiro Marinho, N., Loendersloot, R., Wiegman, J. W., Grooteman, F. & Tinga, T.https://doi.org/10.1177/14759217241304644
Research profiles
Courses academic year 2026/2027
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2025/2026
Courses academic year 2024/2025
Address
University of Twente
Horst Complex (building no. 20), room N120
De Horst 2
7522 LW Enschede
Netherlands
University of Twente
Horst Complex N120
P.O. Box 217
7500 AE Enschede
Netherlands
Scan the QR code or