A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

Biao Wang, Yaguo Lei, Naipeng Li, +1

IEEE Transactions on Reliability

Hybrid Prognostics ApproachEngineeringMachine LearningLife PredictionMechanical Engineering +19

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Feng Jia, Yaguo Lei, Jing Lin, +2

Mechanical Systems and Signal Processing

Fault DiagnosisDeep Neural NetworksEngineeringMachine LearningData Science +10

A recurrent neural network based health indicator for remaining useful life prediction of bearings

Liang Guo, Naipeng Li, Feng Jia, +2

Neurocomputing

Recurrent Neural NetworkEngineeringMachine LearningService Life PredictionLife Prediction +9

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

Liang Guo, Yaguo Lei, Saibo Xing, +2

IEEE Transactions on Industrial Electronics

Artificial IntelligenceFault DiagnosisConvolutional Neural NetworkEngineeringMachine Learning +14

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

Yaguo Lei, Feng Jia, Jing Lin, +2

IEEE Transactions on Industrial Electronics

Fault DiagnosisEngineeringMachine LearningIntelligent DiagnosticsDiagnosis +14

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

Bin Yang, Yaguo Lei, Feng Jia, +1

Mechanical Systems and Signal Processing

Fault DiagnosisLocomotive BearingsEngineeringMachine LearningData Science +10

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

Naipeng Li, Yaguo Lei, Jing Lin, +1

IEEE Transactions on Industrial Electronics

EngineeringLife PredictionMechanical EngineeringStochastic AnalysisDeterioration Modeling +17

A Model-Based Method for Remaining Useful Life Prediction of Machinery

Yaguo Lei, Naipeng Li, Szymon Gontarz, +3

IEEE Transactions on Reliability

EngineeringMachine LearningIndustrial EngineeringLife PredictionDiagnosis +21

Application of the EEMD method to rotor fault diagnosis of rotating machinery

Yaguo Lei, Zhengjia He, Yanyang Zi

Mechanical Systems and Signal Processing

Fault DiagnosisCondition MonitoringEngineeringDiagnosisSystems Engineering +3

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

Feng Jia, Yaguo Lei, Na Lü, +1

Mechanical Systems and Signal Processing

Fault DiagnosisConvolutional Neural NetworkImbalanced Fault ClassificationEngineeringMachine Learning +7