selected publications
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academic article
- Rotor dynamics informed deep learning for detection, identification, and localization of shaft crack and unbalance defects. Advanced Engineering Informatics. 58:102128-102128. 2023
- Physics-informed machine learning in prognostics and health management: State of the art and challenges. Applied Mathematical Modelling. 124:325-352. 2023
- Bearings RUL prediction based on contrastive self-supervised learning. IFAC-PapersOnLine. 56:11906-11911. 2023
- Physics-informed Lightweight Temporal Convolution Networks for Fault Prognostics Associated to Bearing Stiffness Degradation. PHM Society European Conference. 7:118-125. 2022
- Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes. Structural Safety. 93:102116-102116. 2021
- Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses. Reliability Engineering & System Safety. 196:106771-106771. 2019
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blog posting
- Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes. arXiv (Cornell University). 2020
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conference paper
- Variance Analysis of AK-MCS Failure Probability Estimator and Algorithmic Application. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. 4929-4929. 2020
- Couplage adaptatif des méthodes d'analyses de fiabilité par apprentissage actif basées sur les métamodèles de Krigeage et de la modélisation en base réduite. HAL (Le Centre pour la Communication Scientifique Directe). 2019
- Towards reliability analysis by adaptive sampling with multiple fidelity levels by the use of reduced basis methods. HAL (Le Centre pour la Communication Scientifique Directe). 2019
- Vers des analyses de fiabilité à fidélité adaptative par l’utilisation de modèles en base réduite. HAL (Le Centre pour la Communication Scientifique Directe). 2018
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