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Weikun Deng

Physics-informed machine learning in prognostics and health management: State of the art and challenges
2023 · Weikun DENG, Khanh T.P. NGUYEN, et al. · Applied Mathematical Modelling · 138
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A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data
2025 · Weikun Deng, Hung Le, et al. · Applied Energy · 63
Rotor Dynamics Informed Deep Learning for Detection, Identification, and Localization of Shaft Crack and Unbalance Defects
2023 · Weikun Deng, Khanh T.P. Nguyen, et al. · Advanced Engineering Informatics · 43
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In-situ piezoelectric sensors for structural health monitoring with machine learning integration
2025 · Rogers K. Langat, Weikun Deng, et al. · Mechatronics · 29
Physics Informed Machine Learning Model for Inverse Dynamics in Robotic Manipulators
2023 · Weikun Deng, Fabio Ardiani, et al. · Applied Soft Computing · 29
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Physics-informed Lightweight Temporal Convolution Networks for Fault Prognostics Associated to Bearing Stiffness Degradation
2022 · Weikun Deng, Khanh T. P. Nguyen, et al. · PHM Society European Conference · 17
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Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
2024 · Weikun Deng, Khanh T.P. Nguyen, et al. · Engineering Applications of Artificial Intelligence · 16
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Bearings RUL prediction based on contrastive self-supervised learning
2023 · WeiKun Deng, Khanh T.P. Nguyen, et al. · IFAC-PapersOnLine · 9
Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data
2022 · Weikun Deng, Khanh T. P. Nguyen, et al. · PHM Society European Conference · 6
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A Novel PIML Architecture with Innovative Learning Paradigm Applied in Battery Prognostics
2024 · Weikun Deng, Khanh T. P. Nguyen, et al. · International Conference on Control, Decision and Information Technologies (CoDIT) · 4
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E2E Gated-Mamba for cross-scenarios prognostics
2025 · Weikun Deng, Khanh T.P. Nguyen, et al. · Mechatronics · 2
Cross scenarios interpretable quantification of maintenance action effects on system health via liquid Kolmogorov–Arnold operator based framework
2026 · Weikun Deng, Khanh T.P. Nguyen, et al. · Reliability Engineering & System Safety · 1
Interpretable Health Indicators Construction Under Complex Scenarios for Comprehensive Multicomponent System Monitoring
2026 · Duc-An Nguyen, Weikun Deng, et al. · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering · 1
Improving diagnostics and prognostics in sparse data and scarce knowledge conditions by physics-informed and self-supervised machine learning
2024 · Weikun Deng · theses.fr (ABES) · 1
A Few-shot Learning Framework for Rotor Unbalance and Shaft Crack Fault Diagnostic Based on Physics-informed Neural Network
2023 · WEIKUN DENG, KHANH T. P. NGUYEN, et al. · International Workshop on Structural Health Monitoring (IWSHM) · 1
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Low-rank federated adaptation for IoT-enabled manufacturing system health monitoring – A TEP case study
2026 · Nguyen, Duc-An, Deng, Weikun, et al. · HAL
Interpretable Maintenance Impact Quantification for Aircraft Using Boltzmann KAN with Self-Supervised Learning
2025 · Weikun Deng, Khanh Nguyen, et al. · IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR)
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Works count: 17
Citation count: 360
H-index: 8
I10-index: 7
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