#Dongxiang Jiang

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination

动力设备故障诊断实验室 , 清华大学

Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification

动力设备故障诊断实验室 , 清华大学

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition

动力设备故障诊断实验室 , 清华大学

Global geometric similarity scheme for feature selection in fault diagnosis

动力设备故障诊断实验室 , 清华大学

Modal analysis of wind turbine tower

动力设备故障诊断实验室 , 清华大学

Identification of Multi-Concurrent Fault in a Steam Turbine Rotor System Using Model-Based Method

动力设备故障诊断实验室 , 清华大学

Transient Dynamics Analysis on Main Shaft of Wind Turbine

动力设备故障诊断实验室 , 清华大学

Dynamic response of steam seal rubbing in steam turbine considering thermal effect

动力设备故障诊断实验室 , 清华大学

Study on modeling and simulation of non-grid-connected wind turbine

动力设备故障诊断实验室 , 清华大学

Research on fault mechanism of icing of wind turbine blades

动力设备故障诊断实验室 , 清华大学

Test system of a small wind turbine under laboratory conditions

动力设备故障诊断实验室 , 清华大学

Crack Growth Prediction of the Steam Turbine Generator Shaft

动力设备故障诊断实验室 , 清华大学

Torsional vibration and fatigue evaluation in repairing the worn shafting of the steam turbine

动力设备故障诊断实验室 , 清华大学

Torsional Vibration Analysis and Stress Calculation for the Fault 600MW Steam Turbine Generator Shaft System

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

Fatigue Damage Evaluation of Turbine Generator Due to Multi-Mode Subsynchronous Oscillation

动力设备故障诊断实验室 , 清华大学

Crack cause analysis of pulverizing wheel in fan mill of 600MW steam turbine unit

动力设备故障诊断实验室 , 清华大学

Wind Turbine Fault Diagnosis System Based on A Fuzzy Expert System

动力设备故障诊断实验室 , 清华大学

Dynamics of Slant Cracked Rotor for a Steam Turbine Generator System

动力设备故障诊断实验室 , 清华大学

Correlation Analysis of Oil Temperature Trend for Wind Turbine Gearbox

动力设备故障诊断实验室 , 清华大学

Theoretical and experimental study on wind wheel unbalance for a wind turbine

动力设备故障诊断实验室 , 清华大学

Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine

动力设备故障诊断实验室 , 清华大学

Coupled Torsional Vibration and Fatigue Damage of Turbine Generator Due to Grid Disturbance

动力设备故障诊断实验室 , 清华大学

Application of back propagation neural network to fault diagnosis of direct-drive wind turbine

动力设备故障诊断实验室 , 清华大学

Experimental investigation and analysis for gearbox fault

动力设备故障诊断实验室 , 清华大学

Experimental Study on Lateral and Torsional Vibration of Cracked Rotor With Torsional Excitation

动力设备故障诊断实验室 , 清华大学

Study of Snubbing Mechanism Using Finite Element Method

动力设备故障诊断实验室 , 清华大学

Condition classification and tendency prediction for prognostics using feature extraction and reconstruction

动力设备故障诊断实验室 , 清华大学

Modeling the Late Quaternary Indian Ocean Circulation

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

Bearing fault diagnosis of wind turbine based on intrinsic time-scale decomposition frequency spectrum

动力设备故障诊断实验室 , 清华大学

Fault Analysis and Optimal Balancing of Bowing of Steam Turbine Rotor Under Long-Term Service

动力设备故障诊断实验室 , 清华大学

An Improved Rigid Multibody Model for the Dynamic Analysis of the Planetary Gearbox in a Wind Turbine

动力设备故障诊断实验室 , 清华大学

A Quantitative Assessment of the Arabian Sea Sediment Record Using GCM Simulated Upwelling

动力设备故障诊断实验室 , 清华大学

Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis

动力设备故障诊断实验室 , 清华大学

Application of RBF and Elman Neural Networks on Condition Prediction in CBM

动力设备故障诊断实验室 , 清华大学

Design of distributed energy system based on artificial neural network approach

动力设备故障诊断实验室 , 清华大学

Application of Fuzzy-Rough Set theory and improved SMO algorithm in aircraft engine vibration fault diagnosis

动力设备故障诊断实验室 , 清华大学

Crack modeling of rotating blades with cracked hexahedral finite element method

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

动力设备故障诊断实验室 , 清华大学

Vibration response characteristics of a dual-rotor with unbalance-misalignment coupling faults: Theoretical analysis and experimental study

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

Vibration propagation identification of rotor-bearing-casing system using spatiotemporal graphical modeling

动力设备故障诊断实验室 , 清华大学

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

动力设备故障诊断实验室 , 清华大学

#Dongxiang Jiang

Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination

Intelligent fault diagnosis method for rotating machinery via dictionary learning and sparse representation-based classification

Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition

Global geometric similarity scheme for feature selection in fault diagnosis

Modal analysis of wind turbine tower

Identification of Multi-Concurrent Fault in a Steam Turbine Rotor System Using Model-Based Method

Transient Dynamics Analysis on Main Shaft of Wind Turbine

Dynamic response of steam seal rubbing in steam turbine considering thermal effect

Study on modeling and simulation of non-grid-connected wind turbine

Research on fault mechanism of icing of wind turbine blades

Test system of a small wind turbine under laboratory conditions

Crack Growth Prediction of the Steam Turbine Generator Shaft

Torsional vibration and fatigue evaluation in repairing the worn shafting of the steam turbine

Torsional Vibration Analysis and Stress Calculation for the Fault 600MW Steam Turbine Generator Shaft System

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

Fatigue Damage Evaluation of Turbine Generator Due to Multi-Mode Subsynchronous Oscillation

Crack cause analysis of pulverizing wheel in fan mill of 600MW steam turbine unit

Wind Turbine Fault Diagnosis System Based on A Fuzzy Expert System

Dynamics of Slant Cracked Rotor for a Steam Turbine Generator System

Correlation Analysis of Oil Temperature Trend for Wind Turbine Gearbox

Theoretical and experimental study on wind wheel unbalance for a wind turbine

Application of the ensemble empirical mode decomposition and Hilbert transform to pedestal looseness study of direct-drive wind turbine

Coupled Torsional Vibration and Fatigue Damage of Turbine Generator Due to Grid Disturbance

Application of back propagation neural network to fault diagnosis of direct-drive wind turbine

Experimental investigation and analysis for gearbox fault

Experimental Study on Lateral and Torsional Vibration of Cracked Rotor With Torsional Excitation

Study of Snubbing Mechanism Using Finite Element Method

Condition classification and tendency prediction for prognostics using feature extraction and reconstruction

Modeling the Late Quaternary Indian Ocean Circulation

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

Bearing fault diagnosis of wind turbine based on intrinsic time-scale decomposition frequency spectrum

Fault Analysis and Optimal Balancing of Bowing of Steam Turbine Rotor Under Long-Term Service

An Improved Rigid Multibody Model for the Dynamic Analysis of the Planetary Gearbox in a Wind Turbine

A Quantitative Assessment of the Arabian Sea Sediment Record Using GCM Simulated Upwelling

Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis

Application of RBF and Elman Neural Networks on Condition Prediction in CBM

Design of distributed energy system based on artificial neural network approach

Application of Fuzzy-Rough Set theory and improved SMO algorithm in aircraft engine vibration fault diagnosis

Crack modeling of rotating blades with cracked hexahedral finite element method

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

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

Vibration response characteristics of a dual-rotor with unbalance-misalignment coupling faults: Theoretical analysis and experimental study

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

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

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

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

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

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

Vibration propagation identification of rotor-bearing-casing system using spatiotemporal graphical modeling

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

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