Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

Chen Lü, Zhenya Wang, Wei-Li Qin, +1

Signal Processing

Fault DiagnosisCondition MonitoringEngineeringMachine LearningPattern Recognition +8

Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine

Ye Tian, Jian Ma, Chen Lü, +1

Mechanism and Machine Theory

Fault DiagnosisCondition MonitoringEngineeringExtreme Learning MachineDiagnosis +5

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

Hongmei Liu, Lianfeng Li, Jian Ma

Shock and Vibration

Fault DiagnosisCondition MonitoringEngineeringMachine LearningPattern Recognition +13

Incorporating Uncertainty of Wind Power Generation Forecast Into Power System Operation, Dispatch, and Unit Commitment Procedures

Yuri V. Makarov, Pavel Etingov, Jian Ma, +2

IEEE Transactions on Sustainable Energy

EngineeringPower Grid OperationOptimal System DesignReliability EngineeringBalancing Capacity +15

A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction

Safa Meraghni, Labib Sadek Terrissa, Meiling Yue, +3

International Journal of Hydrogen Energy

EngineeringService Life PredictionData ScienceLife PredictionPredictive Analytics +6

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

Effects of inter-fiber spacing and thermal residual stress on transverse failure of fiber-reinforced polymer–matrix composites

Lei Yang, Ying Yan, Jian Ma, +1

Computational Materials Science

Materials ScienceInter-fiber SpacingFiber ReinforcementEngineeringThermal Residual Stress +7

Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self‐Learning

Jian Ma, Hua Su, Wanlin Zhao, +1

Complexity

A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

Jian Ma, Pengchao Shang, Xinyu Zou, +10

Applied Energy

Electric BatteryElectrical EngineeringEngineeringHybrid TransferEnergy Management +8