ET-MS3-DBM

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
    • Vibration
    • Failure
  • Engineering

    • Predictive Maintenance

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

2025

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/10.1177/14759217241304644Bayesian filtering based prognostic framework incorporating varying loads (2025)Mechanical systems and signal processing, 224. Article 111992. Keizers, L. S., Loendersloot, R. & Tinga, T.https://doi.org/10.1016/j.ymssp.2024.111992

2024

Prediction of degradation and failure mechanisms of AmmoniaDrive installations (2024)[Contribution to conference › Poster] 27th Engineering Mechanics Symposium, EM 2024. Arellano Ortega, L. J., Loendersloot, R., Tinga, T. & Meghoe, A. A.Intelligent Petri Nets Based Maintenance Decision-Making Model Considering RCF Degradation (2024)Civil-Comp Conferences, 7. Article 7.8. Meghoe, A., Tinga, T., Saleh, A. & Chiachío, M.https://doi.org/10.4203/ccc.7.7.8

Research profiles

Address

University of Twente

Horst Complex (building no. 20), room N120
De Horst 2
7522 LW Enschede
Netherlands

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Organisations

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