Physics-informed machine learning in prognostics and health management: State of the art and challenges D Weikun, KTP Nguyen, K Medjaher, G Christian, J Morio Applied Mathematical Modelling 124, 325-352, 2023 | 39 | 2023 |
Physics-informed lightweight temporal convolution networks for fault prognostics associated to bearing stiffness degradation W Deng, KTP Nguyen, C Gogu, J Morio, K Medjaher PHM society European conference 7 (1), 118-125, 2022 | 15 | 2022 |
Rotor dynamics informed deep learning for detection, identification, andlocalization of shaft crack and unbalance defects JM Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, Christian Gogu Advanced Engineering Informatics, 2023 | 14 | 2023 |
Physics informed machine learning model for inverse dynamics in robotic manipulators W Deng, F Ardiani, KTP Nguyen, M Benoussaad, K Medjaher Applied Soft Computing 163, 111877, 2024 | 3* | 2024 |
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration W Deng, KTP Nguyen, C Gogu, K Medjaher, J Morio Engineering Applications of Artificial Intelligence 138, 109268, 2024 | 2 | 2024 |
Improving diagnostics and prognostics in sparse data and scarce knowledge conditions by physics-informed and self-supervised machine learning W Deng Universit{\'e} de Toulouse https://hal.science/tel-04845497v1, 2024 | 1 | 2024 |
Bearings RUL prediction based on contrastive self-supervised learning W Deng, KTP Nguyen, K Medjaher, C Gogu, J Morio IFAC-PapersOnLine 56 (2), 11906-11911, 2023 | 1 | 2023 |
A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data W Deng, H Le, KTP Nguyen, C Gogu, K Medjaher, J Morio, D Wu Applied Energy 384, 125314, 2025 | | 2025 |
In-situ piezoelectric sensors for structural health monitoring with machine learning integration RK Langat, W Deng, E De Luycker, A Cantarel, M Rakotondrabe Mechatronics 106, 103297, 2025 | | 2025 |
A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics W Deng, KTP Nguyen, C Gogu, K Mejaher, J Morio, H Le, D Wu 2024 10th International Conference on Control, Decision and Information …, 2024 | | 2024 |
基于转子端数据驱动 LSTM-CNN 模型的高速旋转系统运行状态识别方法 易聪, 杜建军, 尹际雄, 朱海斌, 邓炜坤, 白宝亮, 付从艺 机械工程学报 59 (1), 131-140, 2023 | | 2023 |
A Few-Shot Learning Framework for Rotor Unbalance and Shaft Crack Fault Diagnostic Based on Physics-Informed Neural Network W DENG, KTP NGUYEN, C GOGU, J MORIO, K MEDJAHER STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data W Deng, KTP Nguyen, K Medjaher PHM Society European Conference 7 (1), 574-576, 2022 | | 2022 |
Towards Generalizable Phm: An Interpretable Liquid Operators-Informed Selective State Space Model for Cross-Scenario Prognostic Applications D WEIKUN, KTP Nguyen, C Gogu, K Medjaher, J Morio Available at SSRN 5149848, 0 | | |
E2e Gated-Mamba for Cross-Scenarios Prognostics D WEIKUN, KTP Nguyen, K Medjaher, C Gogu, J Morio Available at SSRN 5101343, 0 | | |
Improving Structural Health Monitoring in Aeronautical Composite Materials: Leveraging Embedded Sensor Data for Enhanced Performance and Simplified Machine Learning-Based Fault … RK Langat, W Deng, E De Luycker, A Cantarel, M Rakotondrabe Available at SSRN 4930179, 0 | | |