dr.ir. A.A. Meghoe (Annemieke)

Universitair docent
ET-MS3-AMDA
Horst Complex N126
a.a.meghoe@utwente.nl
+31534895547
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Expertises

  • Physics

    • Rail
    • Model
    • Wear
    • Maintenance

  • Computer Science

    • Models
    • Application
    • Prediction Model

  • Engineering

    • Prediction

Organisaties

Publicaties

2024
Quantifying the suitability and feasibility of predictive maintenance approaches, Article 110342, 1-13 (E-pub ahead of print/First online). Alves da Silveira, N. N., Meghoe, A. A. & Tinga, T.https://doi.org/10.1016/j.cie.2024.110342
2023
Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers. Alves da Silveira, N. N., Meghoe, A. A. & Tinga, T.https://doi.org/10.1177/16878132231175755Selection of a suitable wear model for implementation in a generic rail damage function, 1-16. Meghoe, A. A., Loendersloot, R. & Tinga, T.Validation of a physics-based prognostic model with incomplete data: a rail wear case study, Article 3283, 1-16. Meghoe, A. A., Loendersloot, R. & Tinga, T.https://doi.org/10.36001/ijphm.2023.v14i1.3283
2022
Uncertainty propagation in rail wear prediction using an analytical method and field observations. Meghoe, A. A., Loendersloot, R. & Tinga, T.
2021
A hybrid predictive methodology for head checks in railway infrastructure, 1312-1322. Meghoe, A. A., Jamshidi, A., Loendersloot, R. & Tinga, T.https://doi.org/10.1177/0954409721993611Data Selection Criteria for the Application of Predictive Maintenance to Centrifugal PumpsIn Proceedings of the 6th European Conference of the Prognostics and Health Management Societ (pp. 372-380). PHM Society. Silveira, N. N. A., Loendersloot, R., Meghoe, A. A. & Tinga, T.https://doi.org/10.36001/phme.2021.v6i1.2839
2020
Rail wear and remaining life prediction using meta-models, 1-26. Meghoe, A., Loendersloot, R. & Tinga, T.https://doi.org/10.1080/23248378.2019.1621780
2019
Physical Model-Based Predictive Maintenance for Rail Infrastructure. University of Twente. Meghoe, A. A.https://doi.org/10.3990/1.9789036548786

Onderzoeksprofielen

Adres

Universiteit Twente

Horst Complex (gebouwnr. 20), kamer N126
De Horst 2
7522 LW Enschede

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