Chao Liu

发表

Nonlinear vibration signatures for localized fault of rolling element bearing in rotor-bearing-casing system

K. Behdinan, Yizhou Yang, Chao Liu, 2020, International Journal of Mechanical Sciences.

Numerical Analysis of Coupled Lateral and Torsional Vibrations of a Vertical Unbalanced Rotor

Chao Liu, D. Jiang, X. An, 2010 .

Short-term prediction of wind power using EMD and chaotic theory

Chao Liu, D. Jiang, X. An, 2012 .

Casing vibration response prediction of dual-rotor-blade-casing system with blade-casing rubbing

Kamran Behdinan, Chao Liu, Dongxiang Jiang, 2019, Mechanical Systems and Signal Processing.

Comparative analysis and forecasting of isentropic efficiency of gas turbine compressor with ARIMA, VAR, NARNN and ANFIS approaches

Chao Liu, D. Jiang, J. Hao, 2021, IOP Conference Series: Materials Science and Engineering.

Vibration characteristics on a wind turbine rotor using modal and harmonic analysis of FEM

Chao Liu, D. Jiang, Jie Chen, 2010, 2010 World Non-Grid-Connected Wind Power and Energy Conference.

Numerical and experimental analysis of rubbing–misalignment mixed fault in a dual-rotor system

Chao Liu, D. Jiang, Nanfei Wang, 2020, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Continuous-Mass-Model-Based Mechanical and Electrical Co-Simulation of SSR and Its Application to a Practical Shaft Failure Event

Chao Liu, Xiaorong Xie, Huakun Liu, 2016, IEEE Transactions on Power Systems.

Torsional vibration characteristics and experimental study of cracked rotor system with torsional oscillation

Chao Liu, D. Jiang, 2020 .

A gas turbine thermal performance prediction method based on dynamic neural network

Chao Liu, D. Jiang, J. Hao, 2021, IOP Conference Series: Materials Science and Engineering.

Single-asperity failure mechanism driven by morphology and multiaxial loading using molecular dynamics simulation

Chao Liu, D. Jiang, Wenzhen Xie, 2022, Computational Materials Science.

Nano-sized single-asperity friction behavior: Insight from molecular dynamics simulations

Chao Liu, D. Jiang, Wenzhen Xie, 2022, European Journal of Mechanics - A/Solids.

Normal behavior of single-asperity contact of bcc iron: a molecular dynamics simulation study

Chao Liu, D. Jiang, Wenzhen Xie, 2020, 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM).

A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model

Chao Liu, D. Jiang, Jiachi Yao, 2022, Measurement Science and Technology.

Normal contact stiffness model for fractal surfaces considering scale dependence and friction behavior

Chao Liu, D. Jiang, Wenzhen Xie, 2022, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology.

Wind farm power prediction based on wavelet decomposition and chaotic time series

Chao Liu, Xueli An, Minghao Zhao, 2011, Expert Syst. Appl..

Unsupervised anomaly detection using graph neural networks integrated with physical-statistical feature fusion and local-global learning

Chao Liu, D. Jiang, Chen Feng, 2023, Renewable Energy.

Influence Analysis of Nonlinear Stress–Strain Behavior in Pulverizing Wheel of Fan Mill

Chao Liu, Dongxiang Jiang, Chao Liu, 2017, Journal of Failure Analysis and Prevention.

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

Chao Liu, Wenguang Yang, Te Han, 2019, Knowl. Based Syst..

The Stochastic Augmented Lagrangian method for domain adaptation

Chinmay Hegde, Dongxiang Jiang, Zhanhong Jiang, 2021, Knowl. Based Syst..

Numerical and Experimental Study On Rod-Fastened Rotor Dynamics Using Semi-Analytical Elastic-Plastic Model

Chao Liu, D. Jiang, Wenzhen Xie, 2022, Journal of Engineering for Gas Turbines and Power.

A Supervised Early Anomaly Detection Procedure for Industrial Process Using Pseudo System State to Bypass Manual Labeling

Chao Liu, D. Jiang, Yongshan Ding, 2022, 2022 6th International Conference on Power and Energy Engineering (ICPEE).

Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application

Chao Liu, Wenguang Yang, Te Han, 2018, ISA transactions.

A hybrid model of LSTM neural networks with a thermodynamic model for condition-based maintenance of compressor fouling

Haizhou Huang, Dongxiang Jiang, Chao Liu, 2021, Measurement Science and Technology.

A novel integrated modeling approach for filter diagnosis in gas turbine air intake system

Haizhou Huang, Dongxiang Jiang, Chao Liu, 2021, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy.

Deep transfer learning with limited data for machinery fault diagnosis

Te Han, Dongxiang Jiang, Chao Liu, 2021, Appl. Soft Comput..

An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

Chao Liu, Soumik Sarkar, Te Han, 2019, Mechanical Systems and Signal Processing.

Fault diagnosis of wind turbine based on Long Short-term memory networks

Dongxiang Jiang, Chao Liu, Jinhao Lei, 2019, Renewable Energy.

A hierarchical scheme for remaining useful life prediction with long short-term memory networks

Chao Liu, D. Jiang, Yunfeng Jin, 2022, Neurocomputing.

Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions.

Chao Liu, Wenguang Yang, Te Han, 2019, ISA transactions.

Global geometric similarity scheme for feature selection in fault diagnosis

Chao Liu, Wenguang Yang, Dongxiang Jiang, 2014, Expert Syst. Appl..

Damage identification of wind turbine blades with deep convolutional neural networks

Dongxiang Jiang, Chao Liu, Jihong Guo, 2021, Renewable Energy.

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

Chao Liu, Wenguang Yang, Dongxiang Jiang, 2018, Renewable Energy.

Trans-scale rough surface contact model based on molecular dynamics method: Simulation, modeling and experimental verification

Chao Liu, D. Jiang, Z. Qin, 2023, European Journal of Mechanics - A/Solids.

Inelastic contact behaviors of nanosized single-asperity and multi-asperity on α-Fe surface: Molecular dynamic simulations

Chao Liu, D. Jiang, Wenzhen Xie, 2021 .

Crack modeling of rotating blades with cracked hexahedral finite element method

Dongxiang Jiang, Chao Liu, Chao Liu, 2014 .

Improved Blade Tip Timing in Blade Vibration Monitoring with Torsional Vibration of the Rotor

Chao Liu, Dongxiang Jiang, Chao Liu, 2012 .

Influence of alternating loads on nonlinear vibration characteristics of cracked blade in rotor system

Fulei Chu, Dongxiang Jiang, Chao Liu, 2015 .

Experimental analysis of dual-rotor-support-casing system with blade-casing rubbing

Chao Liu, D. Jiang, Nanfei Wang, 2021 .

Collaborative deep learning framework for fault diagnosis in distributed complex systems

Dongxiang Jiang, Zhanhong Jiang, Chao Liu, 2021, Mechanical Systems and Signal Processing.

A low-frequency fault detection method for low-speed planetary gearbox based on acoustic signals

Chao Liu, D. Jiang, Jiachi Yao, 2022, Applied Acoustics.

Application of the intrinsic time-scale decomposition method to fault diagnosis of wind turbine bearing

Jie Chen, Chao Liu, Dongxiang Jiang, 2012 .

Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines

Chao Liu, Chen Feng, Keyu Song, 2024, ArXiv.

A New Adaptive Method of Component Maps in Gas Turbine Thermodynamic Model Based on Spatial Transformer Networks

Chao Liu, Tao Song, Ming Zheng, 2024, 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST).

A Novel Framework for Machine Remaining Useful Life Prediction Based on Time Series Analysis

Chao Liu, Dongxiang Jiang, Tao Song, 2019, 2019 Prognostics and System Health Management Conference (PHM-Qingdao).

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination

Chao Liu, Dongxiang Jiang, Chao Liu, 2011, IEEE Transactions on Reliability.