Expertise

  • Engineering

    • Structural Health Monitoring
    • Composite Structure
    • Strain Energy
    • Ultrasonics
    • Composite Panel
    • Numerical Model
    • Helicopter
  • Physics

    • Ultrasound

Organisations

Publications

2026

Balancing performance and reliability in ammonia-fuelled SOFCs (2026)In Proceedings of the 36th European Safety and Reliability Conference, ESREL 2026 (pp. 2213-2220). Research Publishing. Arellano Ortega, L. J., Meghoe, A. A., Loendersloot, R. & Tinga, T.https://doi.org/10.3850/ESREL2026061419_esrel26-p26311-cdDemonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design (2026)Designs, 10(3). Article 59 (E-pub ahead of print/First online). Odyurt, U., Loendersloot, R. & Tinga, T.https://doi.org/10.3390/designs10030059Physics-Informed Framework for Impact Identification in Aerospace Composites (2026)[Working paper › Preprint]. ArXiv.org. Ribeiro Marinho, N., Loendersloot, R., Wiegman, J. W., Grooteman, F. & Tinga, T.https://doi.org/10.48550/arXiv.2603.28593Incorporating 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

Defining Energy Indicators for Impact Identification on Aerospace Composites: A Physics-Informed Machine Learning Perspective (2025)[Working paper › Preprint]. ArXiv.org. Ribeiro Marinho, N., Loendersloot, R., Grooteman, F., Wiegman, J. W., Odyurt, U. & Tinga, T.https://doi.org/10.48550/arXiv.2511.01592Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design (2025)[Working paper › Preprint]. ArXiv.org. Odyurt, U., Loendersloot, R. & Tinga, T.https://doi.org/10.48550/arXiv.2510.18534InfoPos: A Design Support Framework for ML-Assisted Fault Detection and Identification in Industrial Cyber-Physical Systems (2025)[Working paper › Preprint]. ArXiv.org. Odyurt, U., Loendersloot, R. & Tinga, T.https://doi.org/10.48550/arXiv.2502.10331Predicting 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.2025.113093

Research profiles

Address

University of Twente

Horst Complex (building no. 20), room N118
De Horst 2
7522 LW Enschede
Netherlands

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