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Xiaohang Jin
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Journal Articles
- 2024
- [j23]Yuling Zhan, Ziqian Kong, Ziqi Wang, Xiaohang Jin, Zhengguo Xu:
Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure. Reliab. Eng. Syst. Saf. 251: 110383 (2024) - [j22]Ruxu Yue
, Guoqian Jiang
, Xiaohang Jin
, Qun He
, Ping Xie
:
Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines. IEEE Trans. Instrum. Meas. 73: 1-17 (2024) - [j21]Ruchun Zhao
, Guoqian Jiang
, Qun He
, Xiaohang Jin
, Ping Xie
:
Current-Aided Vibration Fusion Network for Fault Diagnosis in Electromechanical Drive System. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j20]Zijun Que
, Xiaohang Jin
, Zhengguo Xu
, Chang Hu:
Remaining Useful Life Prediction Based on Incremental Learning. IEEE Trans. Reliab. 73(2): 876-884 (2024) - 2023
- [j19]Xiaohang Jin
, Hao Wang
, Ziqian Kong, Zhengguo Xu
, Wei Qiao
:
Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning. IEEE Access 11: 9441-9450 (2023) - [j18]Zian Chen, Xiaohang Jin, Ziqian Kong
, Feng Wang, Zhengguo Xu:
Global and local information integrated network for remaining useful life prediction. Eng. Appl. Artif. Intell. 126: 106956 (2023) - [j17]Ziqian Kong
, Xiaohang Jin, Zhengguo Xu
, Zian Chen
:
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. Reliab. Eng. Syst. Saf. 234: 109163 (2023) - [j16]Ziqi Wang
, Xiaohang Jin
, Zhengguo Xu
:
An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j15]Yuanming Zhang
, Weiyue Zhou
, Jiacheng Huang
, Xiaohang Jin
, Gang Xiao
:
Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - 2022
- [j14]Yuanjing Guo
, Shaofei Jiang, Youdong Yang, Xiaohang Jin, Yanding Wei:
Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction. Sensors 22(5): 1779 (2022) - [j13]Yuanjing Guo
, Youdong Yang, Shaofei Jiang, Xiaohang Jin, Yanding Wei:
Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index. Sensors 22(10): 3889 (2022) - [j12]Ziqian Kong
, Xiaohang Jin
, Zhengguo Xu
, Bin Zhang
:
Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - 2021
- [j11]Zijun Que
, Xiaohang Jin
, Zhengguo Xu
:
Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2019
- [j10]Xiaohang Jin
, Jicong Fan
, Tommy W. S. Chow
:
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. IEEE Trans. Instrum. Meas. 68(9): 3128-3136 (2019) - 2016
- [j9]Weiming Jiang, Zhao Zhang
, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin
:
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12(1): 248-256 (2016) - [j8]Yu Wang
, Yizhen Peng, Yanyang Zi, Xiaohang Jin
, Kwok-Leung Tsui
:
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem. IEEE Trans. Ind. Informatics 12(3): 924-932 (2016) - [j7]Xiaohang Jin
, Yi Sun, Zijun Que, Yu Wang, Tommy W. S. Chow:
Anomaly Detection and Fault Prognosis for Bearings. IEEE Trans. Instrum. Meas. 65(9): 2046-2054 (2016) - 2015
- [j6]Xiaohang Jin
, Tommy W. S. Chow, Yi Sun, Jihong Shan, Bill C. P. Lau:
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis. Wirel. Networks 21(3): 829-839 (2015) - 2014
- [j5]Xiaohang Jin
, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao:
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. 30: 118-128 (2014) - [j4]Ming-Bo Zhao, Xiaohang Jin
, Zhao Zhang
, Bing Li:
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. Expert Syst. Appl. 41(7): 3391-3401 (2014) - [j3]Xiaohang Jin
, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht
:
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. 61(5): 2441-2451 (2014) - 2013
- [j2]Xiaohang Jin
, Tommy W. S. Chow:
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system. Expert Syst. Appl. 40(15): 5787-5795 (2013) - 2012
- [j1]Xiaohang Jin
, Eden W. M. Ma, L. L. Cheng, Michael G. Pecht
:
Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection. IEEE Trans. Instrum. Meas. 61(8): 2222-2229 (2012)
Conference and Workshop Papers
- 2018
- [c4]Xiaohang Jin, Zijun Que, Yi Sun, Yuanjing Guo, Wei Qiao:
A Data-Driven Approach for Bearing Fault Prognostics. IAS 2018: 1-8 - 2016
- [c3]Xiaohang Jin, Fangzhou Cheng, Yayu Peng
, Wei Qiao, Liyan Qu:
A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis. IAS 2016: 1-8 - 2015
- [c2]Xiaohang Jin, Yayu Peng
, Fangzhou Cheng, Wei Qiao, Liyan Qu:
Quantitative evaluation of wind turbine faults under variable operational conditions. IAS 2015: 1-8 - [c1]Yu Wang, Yizhen Peng, Yanyang Zi, Xiaohang Jin, Kwok-Leung Tsui
:
An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem. INDIN 2015: 1090-1095
Coauthor Index
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