Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network

Feiyu Lu, Qingbin Tong, Ziwei Feng, +1

IEEE Transactions on Industrial Informatics

Fault DiagnosisVarious SpeedsMachine LearningData ScienceData Mining +13

Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU

Feiyu Lu, Qingbin Tong, Jianjun Xu, +4

Advanced Engineering Informatics

Fault DiagnosisImage AnalysisMachine LearningData ScienceEngineering +10

A deep targeted transfer network with clustering pseudo-label learning for fault diagnosis across different Machines

Feiyu Lu, Qingbin Tong, Xuedong Jiang, +4

Mechanical Systems and Signal Processing

Fault DiagnosisEngineeringMachine LearningData ScienceDiagnosis +7

Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback–Leibler Divergence Weights for Mechanical Fault Diagnosis

Feiyu Lu, Qingbin Tong, Xuedong Jiang, +3

IEEE Transactions on Industrial Informatics

Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples

Feiyu Lu, Qingbin Tong, Xuedong Jiang, +3

Computers in Industry

Convolutional AutoencoderFault DiagnosisEngineeringMachine LearningData Science +7

Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions

Feiyu Lu, Qingbin Tong, Ziwei Feng, +6

Measurement Science and Technology

Fault DiagnosisCondition MonitoringEngineeringMachine LearningData Science +13

A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks

Qingbin Tong, Feiyu Lu, Ziwei Feng, +4

Applied Sciences

Fault DiagnosisEngineeringMachine LearningNeural NetworkAutoencoders +16

National Electricity Market of Singapore

Feiyu Lu, H. Gan

MarketingRetail CompetitionEconomicsPower MarketEngineering +11

A parameter-adaptive ACMD method based on particle swarm optimization algorithm for rolling bearing fault diagnosis under variable speed

Zengqiang Ma, Feiyu Lu, Suyan Liu, +1

Journal of Mechanical Science and Technology

Variable SpeedFault DiagnosisCondition MonitoringEngineeringBearing Fault Diagnosis +4

Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios

Feiyu Lu, Qingbin Tong, Xuedong Jiang, +4

Advanced Engineering Informatics