Xiaohang Jin
Orcid: 0000-0002-0571-055X
According to our database1,
Xiaohang Jin
authored at least 24 papers
between 2012 and 2024.
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Bibliography
2024
Current-Aided Vibration Fusion Network for Fault Diagnosis in Electromechanical Drive System.
IEEE Trans. Instrum. Meas., 2024
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines.
IEEE Trans. Instrum. Meas., 2024
2023
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction.
Reliab. Eng. Syst. Saf., June, 2023
IEEE Trans. Instrum. Meas., 2023
An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning.
IEEE Trans. Instrum. Meas., 2023
Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning.
IEEE Access, 2023
2022
Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network.
IEEE Trans. Instrum. Meas., 2022
Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index.
Sensors, 2022
2021
IEEE Trans. Instrum. Meas., 2021
2019
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods.
IEEE Trans. Instrum. Meas., 2019
2018
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018
2016
IEEE Trans. Ind. Informatics, 2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Ind. Informatics, 2016
A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016
2015
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis.
Wirel. Networks, 2015
An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Quantitative evaluation of wind turbine faults under variable operational conditions.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015
2014
IEEE Trans. Ind. Electron., 2014
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl., 2014
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification.
Eng. Appl. Artif. Intell., 2014
2013
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system.
Expert Syst. Appl., 2013
2012
Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection.
IEEE Trans. Instrum. Meas., 2012