Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach

Yu Ding, Liang Ma, Jian Ma, +4

Advanced Engineering Informatics

Artificial IntelligenceFault DiagnosisIntelligent Fault DiagnosisEngineeringMachine Learning +9

A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions

Yu Ding, Liang Ma, Jian Ma, +2

IEEE Access

Artificial IntelligenceFault DiagnosisCondition MonitoringEngineeringMachine Learning +12

An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples

Wengang Ma, Yadong Zhang, Liang Ma, +2

Expert Systems with Applications

Fault DiagnosisEngineeringMachine LearningData SciencePattern Recognition +10

An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network

Liang Ma, Yu Ding, Zili Wang, +3

Expert Systems with Applications

Artificial IntelligenceFault DiagnosisData AugmentationEngineeringMachine Learning +6

A fault diagnosis approach for diesel engines based on self-adaptive WVD, improved FCBF and PECOC-RVM

Yu Liu, Junhong Zhang, Liang Ma

Neurocomputing

Fault DiagnosisEngineeringFault AnalysisSystems EngineeringFault Diagnosis Approach +4

Fault diagnosis approach for rotating machinery based on dynamic model and computational intelligence

Junhong Zhang, Wenpeng Ma, Jiewei Lin, +2

Measurement

Fault DiagnosisReliability EngineeringEngineeringMechatronicsAutomation +12

A collaborative central domain adaptation approach with multi-order graph embedding for bearing fault diagnosis under few-shot samples

Wengang Ma, Ruiqi Liu, Jin Guo, +2

Applied Soft Computing

Fault DiagnosisEngineeringMachine LearningData ScienceData Mining +10

An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning

Qin Zhao, Yu Ding, Chen Lü, +4

Expert Systems with Applications

Artificial IntelligenceFault DiagnosisEngineeringMachine LearningData Science +7

Long-term degradation prediction and assessment with heteroscedasticity telemetry data based on GRU-GARCH and MD hybrid method: An application for satellite

Laifa Tao, Tong Zhang, Di Peng, +5

Aerospace Science and Technology

Heteroscedasticity Telemetry DataEnvironmental MonitoringEngineeringData ScienceLife Prediction +10

New Method of Mix Design for Self-Compacting Concrete Based on Material Characteristics

Fangxian Li, Jiangxiong Wei, Jingping Wang, +4

Procedia Engineering

Geotechnical EngineeringMaterial CharacteristicsMix DesignEngineeringSpecific Surface +13