Bearing remaining useful life prediction with convolutional long short-term memory fusion networks

References

Page 1

	Year	Citations
Gradient-based learning applied to document recognition Yann LeCun, Léon Bottou, Yoshua Bengio, Proceedings of the IEEE EngineeringMachine LearningMultilayer Neural NetworksImage AnalysisData Science	1998	56.5K
Reducing the Dimensionality of Data with Neural Networks Geoffrey E. Hinton, Ruslan Salakhutdinov Science	2006	20.5K
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi, Zhourong Chen, Hao Wang, arXiv (Cornell University) HydrometeorologyConvolutional Neural NetworkConvolutional LstmPrecipitation NowcastingMachine Learning	2015	6.6K
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings Biao Wang, Yaguo Lei, Naipeng Li, IEEE Transactions on Reliability Hybrid Prognostics ApproachEngineeringMachine LearningLife PredictionMechanical Engineering	2018	1.7K
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications Jay Lee, Fangji Wu, Wenyu Zhao, Mechanical Systems and Signal Processing Prognostic AssessmentCondition MonitoringPrognostic EvaluationEngineeringMedicine	2013	1.5K
A recurrent neural network based health indicator for remaining useful life prediction of bearings Liang Guo, Naipeng Li, Feng Jia, Neurocomputing Recurrent Neural NetworkEngineeringMachine LearningService Life PredictionLife Prediction	2017	1.2K
PRONOSTIA : An experimental platform for bearings accelerated degradation tests. Patrick Nectoux, Rafael Gouriveau, Kamal Medjaher, SPIRE - Sciences Po Institutional REpository	2012	692
Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression Abdenour Soualhi, Kamal Medjaher, Noureddine Zerhouni IEEE Transactions on Instrumentation and Measurement Fault DiagnosisEngineeringIndustrial EngineeringDiagnosisSupervised Classification Technique	2014	645
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings Naipeng Li, Yaguo Lei, Jing Lin, IEEE Transactions on Industrial Electronics EngineeringLife PredictionMechanical EngineeringStochastic AnalysisDeterioration Modeling	2015	640
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach Zhenghua Chen, Min Wu, Rui Zhao, IEEE Transactions on Industrial Electronics Convolutional Neural NetworkEngineeringMachine LearningLife PredictionConventional Lstm Network	2020	549

Page 1