Xiaohang Jin

Orcid: 0000-0002-0571-055X

According to our database1, Xiaohang Jin authored at least 30 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Remaining Useful Life Prediction Based on Incremental Learning.
IEEE Trans. Reliab., June, 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

Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives.
IEEE Trans. Instrum. Meas., 2024

A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing.
IEEE Trans. Instrum. Meas., 2024

Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process.
IEEE Trans. Instrum. Meas., 2024

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure.
Reliab. Eng. Syst. Saf., 2024

2023
Global and local information integrated network for remaining useful life prediction.
Eng. Appl. Artif. Intell., November, 2023

A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction.
Reliab. Eng. Syst. Saf., June, 2023

Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction.
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

Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction.
Sensors, 2022

2021
Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit.
IEEE Trans. Instrum. Meas., 2021

2019
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods.
IEEE Trans. Instrum. Meas., 2019

2018
A Data-Driven Approach for Bearing Fault Prognostics.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018

2016
Anomaly Detection and Fault Prognosis for Bearings.
IEEE Trans. Instrum. Meas., 2016

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem.
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
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis.
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


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