Yaguo Lei
Orcid: 0000-0002-5167-1459
According to our database1,
Yaguo Lei
authored at least 64 papers
between 2008 and 2024.
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Bibliography
2024
An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions.
IEEE Trans. Ind. Informatics, April, 2024
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation.
IEEE CAA J. Autom. Sinica, April, 2024
Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing.
IEEE CAA J. Autom. Sinica, March, 2024
IEEE Trans. Ind. Informatics, January, 2024
IEEE Internet Things J., January, 2024
2023
IEEE Trans. Ind. Electron., November, 2023
Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines.
IEEE Trans. Ind. Electron., September, 2023
Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective.
Reliab. Eng. Syst. Saf., September, 2023
A new method for calculating time-varying torsional stiffness of RV reducers with variable loads and tooth modifications.
J. Field Robotics, September, 2023
J. Field Robotics, September, 2023
Comput. Biol. Medicine, September, 2023
IEEE Trans. Ind. Electron., July, 2023
J. Field Robotics, June, 2023
IEEE Trans. Instrum. Meas., 2023
Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery.
Reliab. Eng. Syst. Saf., 2023
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks.
IEEE CAA J. Autom. Sinica, 2023
Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera.
Proceedings of the CAA Symposium on Fault Detection, 2023
A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-Shot Fault Diagnosis of Machines.
IEEE Trans. Ind. Electron., 2022
An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines.
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Cybern., 2022
Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective.
Reliab. Eng. Syst. Saf., 2022
Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data.
Expert Syst. Appl., 2022
2021
Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions.
IEEE Trans. Ind. Electron., 2021
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery.
IEEE Trans. Ind. Electron., 2021
Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems.
IEEE Trans. Ind. Electron., 2021
Degradation modeling and remaining useful life prediction for dependent competing failure processes.
Reliab. Eng. Syst. Saf., 2021
Reliab. Eng. Syst. Saf., 2021
Accurate identification of Parkinson's disease by distinctive features and ensemble decision trees.
Biomed. Signal Process. Control., 2021
2020
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings.
IEEE Trans. Reliab., 2020
A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines.
IEEE Trans. Ind. Electron., 2020
An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring.
IEEE Trans. Ind. Electron., 2020
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions.
Reliab. Eng. Syst. Saf., 2020
Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery.
Neurocomputing, 2020
2019
A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability.
IEEE Trans. Ind. Electron., 2019
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data.
IEEE Trans. Ind. Electron., 2019
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.
Reliab. Eng. Syst. Saf., 2019
2018
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines.
Neurocomputing, 2018
Machinery health indicator construction based on convolutional neural networks considering trend burr.
Neurocomputing, 2018
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods.
Eur. J. Oper. Res., 2018
Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models.
IEEE Trans. Ind. Electron., 2017
A recurrent neural network based health indicator for remaining useful life prediction of bearings.
Neurocomputing, 2017
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
An improved fusion prognostics method for remaining useful life prediction of bearings.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017
2016
IEEE Trans. Reliab., 2016
A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2016
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data.
IEEE Trans. Ind. Electron., 2016
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016
Reconstruction independent component analysis-based methods for intelligent fault diagnosis.
Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design, 2016
2015
An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings.
IEEE Trans. Ind. Electron., 2015
Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.
Sensors, 2015
2014
Rotating Machinery Fault Detection Based on Improved Ensemble Empirical mode Decomposition.
Adv. Data Sci. Adapt. Anal., 2014
2013
Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds.
Sensors, 2013
Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition.
Sensors, 2013
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
2012
A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes.
Sensors, 2012
Digit. Signal Process., 2012
2011
Expert Syst. Appl., 2011
2010
Expert Syst. Appl., 2010
2009
Expert Syst. Appl., 2009
2008
Expert Syst. Appl., 2008