Yaguo Lei

Orcid: 0000-0002-5167-1459

According to our database¹, Yaguo Lei authored at least 69 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, October, 2024

An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, April, 2024

Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, April, 2024

Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, March, 2024

Intelligent Machinery Fault Diagnosis With Event-Based Camera.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, January, 2024

Self-Powered Wireless Condition Monitoring for Rotating Machinery.

[BibT_eX]

[DOI]

IEEE Internet Things J., January, 2024

A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

A nonparametric degradation modeling method for remaining useful life prediction with fragment data.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

2023

Machinery Health Prognostics With Multimodel Fusion Degradation Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., November, 2023

A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., November, 2023

Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., September, 2023

Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., September, 2023

A new method for calculating time-varying torsional stiffness of RV reducers with variable loads and tooth modifications.

[BibT_eX]

[DOI]

J. Field Robotics, September, 2023

Improved subspace modal identification of industrial robots.

[BibT_eX]

[DOI]

J. Field Robotics, September, 2023

Wearable multisource quantitative gait analysis of Parkinson's diseases.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, September, 2023

Remaining Useful Life Prediction of Lubricating Oil With Small Samples.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., July, 2023

A review for control theory and condition monitoring on construction robots.

[BibT_eX]

[DOI]

J. Field Robotics, June, 2023

Deep Learning and Laser-Based 3-D Pixel-Level Rail Surface Defect Detection Method.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2023

Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera.

[BibT_eX]

[DOI]

Proceedings of the CAA Symposium on Fault Detection, 2023

A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Severity level diagnosis of Parkinson's disease by ensemble K-nearest neighbor under imbalanced data.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

2021

Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2021

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2021

Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2021

Degradation modeling and remaining useful life prediction for dependent competing failure processes.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

Remaining useful life prediction based on a multi-sensor data fusion model.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

Accurate identification of Parkinson's disease by distinctive features and ensemble decision trees.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2020

A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2020

An Incorrect Data Detection Method for Big Data Cleaning of Machinery Condition Monitoring.

[BibT_eX]

[DOI]

Xuefang Xu

Yaguo Lei

Zeda Li

IEEE Trans. Ind. Electron., 2020

Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2019

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2019

2018

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Machinery health indicator construction based on convolutional neural networks considering trend burr.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2018

Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process.

[BibT_eX]

[DOI]

Tao Yan

Yaguo Lei

Naipeng Li

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.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

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

[BibT_eX]

[DOI]

Neurocomputing, 2017

A dirty data recognition method for machinery condition monitoring in big data era.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

Machine remaining useful life prediction considering unit-to-unit variability.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

Weak signal detection based on underdamped multistable stochastic resonance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2016

A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

Yaguo Lei

Naipeng Li

Jing Lin

IEEE Trans. Instrum. Meas., 2016

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2016

A method of automatic feature extraction from massive vibration signals of machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016

Reconstruction independent component analysis-based methods for intelligent fault diagnosis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2015

Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.

[BibT_eX]

[DOI]

Sensors, 2015

2014

Rotating Machinery Fault Detection Based on Improved Ensemble Empirical mode Decomposition.

[BibT_eX]

[DOI]

Adv. Data Sci. Adapt. Anal., 2014

2013

Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds.

[BibT_eX]

[DOI]

Sensors, 2013

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition.

[BibT_eX]

[DOI]

Sensors, 2013

A KPI-related multiplicative fault diagnosis scheme for industrial processes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sensors, 2012

Fast-varying AM-FM components extraction based on an adaptive STFT.

[BibT_eX]

[DOI]

Digit. Signal Process., 2012

2011

EEMD method and WNN for fault diagnosis of locomotive roller bearings.

[BibT_eX]

[DOI]

Yaguo Lei

Zhengjia He

Yanyang Zi

Expert Syst. Appl., 2011

2010

A multidimensional hybrid intelligent method for gear fault diagnosis.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2010

2009

Application of an intelligent classification method to mechanical fault diagnosis.

[BibT_eX]

[DOI]

Yaguo Lei

Zhengjia He

Yanyang Zi

Expert Syst. Appl., 2009

2008

A new approach to intelligent fault diagnosis of rotating machinery.

[BibT_eX]

[DOI]

Yaguo Lei

Zhengjia He

Yanyang Zi

Expert Syst. Appl., 2008

Yaguo Lei

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