Chenyu Liu

发表

Towards Robust Human Millimeter Wave Imaging Inspection System in Real Time with Deep Learning

Xiaowei Sun, Chenyu Liu, Mingdai Yang, 2018 .

A semi-supervised Support Vector Data Description- based fault detection method for rolling element bearings based on Cyclic Spectral Coherence

K. Gryllias, Chenyu Liu, 2020 .

Local-pattern-aware forecast of regional wind power: Adaptive partition and long-short-term matching

Shengwei Mei, Xuemin Zhang, Feng Liu, 2021 .

A Deep Support Vector Data Description Method for Anomaly Detection in Helicopters

Konstantinos Gryllias, Chenyu Liu, K. Gryllias, 2021 .

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

Konstantinos Gryllias, Chenyu Liu, K. Gryllias, 2020, Mechanical Systems and Signal Processing.

Numerical weather prediction enhanced wind power forecasting: Rank ensemble and probabilistic fluctuation awareness

Z. Zhen, S. Mei, Chenyu Liu, 2022, Applied Energy.

Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning

Yanjun Chen, Sheng Shan, Chenyu Liu, 2022, Energy.

Unsupervised Domain Adaptation based Remaining Useful Life Prediction of Rolling Element Bearings

Konstantinos Gryllias, Chenyu Liu, K. Gryllias, 2020 .

Machine learning in building energy management: A critical review and future directions

Chenyu Liu, Qian Shi, Chao Xiao, 2022, Frontiers of Engineering Management.

Domain Adaptation Digital Twin for Rolling Element Bearing Prognostics

Konstantinos Gryllias, Dandan Peng, Alexandre Mauricio, 2020 .

Unsupervised transfer learning for condition monitoring of a fleet of wind turbines

K. Gryllias, W. Desmet, Dandan Peng, 2021, Annual Conference of the PHM Society.

A rolling bearing fault diagnosis method using novel lightweight neural network

Yanjun Chen, Chenyu Liu, S. Shan, 2021, Measurement Science and Technology.

Simulation-Driven Domain Adaptation for Rolling Element Bearing Fault Diagnosis

Konstantinos Gryllias, Chenyu Liu, K. Gryllias, 2022, IEEE Transactions on Industrial Informatics.

Rolling Bearing Fault Diagnosis of Train Running Gear Based on Optimized Deep Residual Network

Yanjun Chen, Chenyu Liu, Deqiang He, 2021, 2021 5th International Conference on Automation, Control and Robots (ICACR).

Using a smartphone camera to analyse rotating and vibrating systems: Feedback on the SURVISHNO 2019 contest

Alessandro Paolo Daga, K. Billon, Q. Leclère, 2021 .

Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines

Konstantinos Gryllias, Weihua Li, Zhuyun Chen, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Gear Grinding Monitoring based on Deep Convolutional Neural Networks

K. Gryllias, Zhuyun Chen, K. Declercq, 2020 .

Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images

Zhen Zhang, Mingjing Yang, Liqin Huang, 2020, MyoPS@MICCAI.

Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint pdf

Xiahai Zhuang, Zhen Zhang, Liqin Huang, 2020, BrainLes@MICCAI.

A Transfer Learning-Based Rolling Bearing Fault Diagnosis Across Machines

K. Gryllias, Dandan Peng, Chenyu Liu, 2022, Annual Conference of the PHM Society.

Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN

Chenyu Liu, L. Ge, Jiaan Zhang, 2022, Energies.

Deep Unsupervised Transfer Learning for Health Status Prediction of a Fleet of Wind Turbines with Unbalanced Data

K. Gryllias, W. Desmet, Dandan Peng, 2021 .

Series-wise attention network for wind power forecasting considering temporal lag of numerical weather prediction

S. Mei, Chenyu Liu, Xuemin Zhang, 2023, Applied Energy.

Adaptive Wind Speed Forecasting Based on Optimized Ensemble Numerical Weather Prediction and Temporal Feature Selection

S. Mei, Chenyu Liu, Xuemin Zhang, 2021, 2021 IEEE Power & Energy Society General Meeting (PESGM).