Xiaohang Jin - RankMe

34 papers C 5Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A deep evidence mining approach for trustworthy open-set fault diagnosis of rotating machinery. Appl. Soft Comput. Ziqian Kong, Xiaobin Xu, Xiaohang Jin, Chao Ji, Zehui Zhang, Zijun Que
2025	C	`conf`	Condition Monitoring of Wind Turbines Based on Source Domain Adaptation. INDIN Xiaohang Jin, Jiaguang Liu, Zhongzheng Zhao, Lesedi Masisi, Zepeng Liu
2025	J	`jnl`	Knowledge Graph Transformer Network for Health Status Assessment. IEEE Trans. Instrum. Meas. Yuanming Zhang, Jiacheng Huang, Wenbo Zheng, Gang Xiao, Xiaohang Jin
2024	J	`jnl`	A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing. IEEE Trans. Instrum. Meas. Jiamu Ling, Chenli Shi, Feng Wang, Wei Ye, Xiaohang Jin, Zhuangwei Xu, Zhengguo Xu
2024	J	`jnl`	A novel three-stage multi-population evolutionary algorithm for constrained multi-objective optimization problems. Complex Intell. Syst. Chenli Shi, Ziqi Wang, Xiaohang Jin, Zhengguo Xu, Zhangsheng Wang, Peng Shen
2024	J	`jnl`	Current-Aided Vibration Fusion Network for Fault Diagnosis in Electromechanical Drive System. IEEE Trans. Instrum. Meas. Ruchun Zhao, Guoqian Jiang, Qun He, Xiaohang Jin, Ping Xie
2024	J	`jnl`	Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives. IEEE Trans. Instrum. Meas. Ziqi Wang, Xiaohang Jin, Zhengguo Xu
2024	J	`jnl`	Remaining Useful Life Prediction Based on Incremental Learning. IEEE Trans. Reliab. Zijun Que, Xiaohang Jin, Zhengguo Xu, Chang Hu
2024	J	`jnl`	Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. IEEE Trans. Instrum. Meas. Zixuan He, Ziqian Kong, Xiaohang Jin, Zijun Que, Zhengguo Xu
2024	J	`jnl`	Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure. Reliab. Eng. Syst. Saf. Yuling Zhan, Ziqian Kong, Ziqi Wang, Xiaohang Jin, Zhengguo Xu
2024	J	`jnl`	Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines. IEEE Trans. Instrum. Meas. Ruxu Yue, Guoqian Jiang, Xiaohang Jin, Qun He, Ping Xie
2023	J	`jnl`	A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. Reliab. Eng. Syst. Saf. Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Zian Chen
2023	J	`jnl`	An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning. IEEE Trans. Instrum. Meas. Ziqi Wang, Xiaohang Jin, Zhengguo Xu
2023	J	`jnl`	Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning. IEEE Access Xiaohang Jin, Hao Wang, Ziqian Kong, Zhengguo Xu, Wei Qiao
2023	J	`jnl`	Global and local information integrated network for remaining useful life prediction. Eng. Appl. Artif. Intell. Zian Chen, Xiaohang Jin, Ziqian Kong, Feng Wang, Zhengguo Xu
2023	J	`jnl`	Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. Yuanming Zhang, Weiyue Zhou, Jiacheng Huang, Xiaohang Jin, Gang Xiao
2022	J	`jnl`	Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction. Sensors Yuanjing Guo, Shaofei Jiang, Youdong Yang, Xiaohang Jin, Yanding Wei
2022	J	`jnl`	Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index. Sensors Yuanjing Guo, Youdong Yang, Shaofei Jiang, Xiaohang Jin, Yanding Wei
2022	J	`jnl`	Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network. IEEE Trans. Instrum. Meas. Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Bin Zhang
2021	J	`jnl`	Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit. IEEE Trans. Instrum. Meas. Zijun Que, Xiaohang Jin, Zhengguo Xu
2019	J	`jnl`	Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. IEEE Trans. Instrum. Meas. Xiaohang Jin, Jicong Fan, Tommy W. S. Chow
2018	C	`conf`	A Data-Driven Approach for Bearing Fault Prognostics. IAS Xiaohang Jin, Zijun Que, Yi Sun, Yuanjing Guo, Wei Qiao
2016	J	`jnl`	A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem. IEEE Trans. Ind. Informatics Yu Wang, Yizhen Peng, Yanyang Zi, Xiaohang Jin, Kwok-Leung Tsui
2016	C	`conf`	A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis. IAS Xiaohang Jin, Fangzhou Cheng, Yayu Peng, Wei Qiao, Liyan Qu
2016	J	`jnl`	Anomaly Detection and Fault Prognosis for Bearings. IEEE Trans. Instrum. Meas. Xiaohang Jin, Yi Sun, Zijun Que, Yu Wang, Tommy W. S. Chow
2016	J	`jnl`	Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin
2015	C	`conf`	An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem. INDIN Yu Wang, Yizhen Peng, Yanyang Zi, Xiaohang Jin, Kwok-Leung Tsui
2015	J	`jnl`	Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis. Wirel. Networks Xiaohang Jin, Tommy W. S. Chow, Yi Sun, Jihong Shan, Bill C. P. Lau
2015	C	`conf`	Quantitative evaluation of wind turbine faults under variable operational conditions. IAS Xiaohang Jin, Yayu Peng, Fangzhou Cheng, Wei Qiao, Liyan Qu
2014	J	`jnl`	Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. Expert Syst. Appl. Ming-Bo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li
2014	J	`jnl`	Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht
2014	J	`jnl`	Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao
2013	J	`jnl`	Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system. Expert Syst. Appl. Xiaohang Jin, Tommy W. S. Chow
2012	J	`jnl`	Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection. IEEE Trans. Instrum. Meas. Xiaohang Jin, Eden W. M. Ma, L. L. Cheng, Michael G. Pecht