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Xiaohang Jin
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2020 – today
- 2024
- [j26]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) - [j25]Zixuan He, Ziqian Kong, Xiaohang Jin, Zijun Que, Zhengguo Xu:
Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j24]Jiamu Ling, Chenli Shi, Feng Wang, Wei Ye, Xiaohang Jin, Zhuangwei Xu, Zhengguo Xu:
A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j23]Ziqi Wang, Xiaohang Jin, Zhengguo Xu:
Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives. IEEE Trans. Instrum. Meas. 73: 1-13 (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)
2010 – 2019
- 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) - 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
- [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) - [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
- [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) - [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 - 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)
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