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Researcher
Chenyu Liu
- Disciplines:Other engineering and technology
Affiliations
- Mecha(tro)nic System Dynamics (LMSD) (Division)
Member
From1 Aug 2020 → 31 Mar 2023 - Production Engineering, Machine Design and Automation (PMA) Section (Division)
Member
From11 Jul 2018 → 9 Aug 2020
Projects
1 - 1 of 1
- Condition Monitoring of Rolling Element Bearings based on Artificial Intelligence: from Kernel Methods to Simulation-based Transfer LearningFrom21 Jun 2018 → 15 Feb 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 16
- Condition Monitoring of Rolling Element Bearings based on Artificial Intelligence: from Kernel Methods to Simulation-based Transfer Learning(2023)
Authors: Chenyu Liu, Konstantinos Gryllias
- A transfer learning-based rolling bearing fault diagnosis across machines(2022)
Authors: Dandan Peng, Chenyu Liu, Alex Ricardo Mauricio, Wim Desmet, Konstantinos Gryllias
Number of pages: 9 - Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description(2022)
Authors: Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias
Number of pages: 9 - A digital twin-assisted deep learning model for rolling element bearing prognostics(2022)
Authors: Chenyu Liu, Bert Pluymers, Wim Desmet, Konstantinos Gryllias
Number of pages: 10 - Vibration-based gear continuous generating grinding fault classification and interpretation with deep convolutional neural network(2022)
Authors: Chenyu Liu
Pages: 688 - 704 - Simulation-driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis(2021)
Authors: Chenyu Liu, Konstantinos Gryllias
Pages: 1 - 12 - A Deep Support Vector Data Description Method for Anomaly Detection in Helicopters(2021)
Authors: Chenyu Liu, Konstantinos Gryllias
Pages: 234 - 242Number of pages: 9 - Using a smartphone camera to analyse rotating and vibrating systems: Feedback on the SURVISHNO 2019 contest(2021)
Authors: Konstantinos Gryllias, Chenyu Liu, Alex Ricardo Mauricio, Junyu Qi
- Gear Grinding Monitoring based on Deep Convolutional Neural Networks(2021)
Authors: Chenyu Liu, Alex Ricardo Mauricio, Konstantinos Gryllias
Pages: 10324 - 10329 - An Improved 2DCNN With Focal Loss Function for Blade Icing Detection of Wind Turbines Under Imbalanced SCADA Data(2021)
Authors: Dandan Peng, Chenyu Liu, Wim Desmet, Konstantinos Gryllias
Number of pages: 8