Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection. - Xiaohang Jin; Eden W. M. Ma; L. L. Cheng; Michael G. Pecht (IEEE Trans. Instrum. Meas., 2012)

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system. - Xiaohang Jin; Tommy W. S. Chow (Expert Syst. Appl., 2013)

Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. - Xiaohang Jin; Fang Yuan; Tommy W. S. Chow; Ming-Bo Zhao (Eng. Appl. Artif. Intell., 2014)

Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. - Ming-Bo Zhao; Xiaohang Jin; Zhao Zhang 001; Bing Li 007 (Expert Syst. Appl., 2014)

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. - Xiaohang Jin; Ming-Bo Zhao; Tommy W. S. Chow; Michael G. Pecht (IEEE Trans. Ind. Electron., 2014)

Quantitative evaluation of wind turbine faults under variable operational conditions. - Xiaohang Jin; Yayu Peng; Fangzhou Cheng; Wei Qiao 001; Liyan Qu (IAS, 2015)

An integrated Bayesian approach to prognositics of the remaining useful life and its application on bearing degradation problem. - Yu Wang 043; Yizhen Peng; Yanyang Zi; Xiaohang Jin; Kwok-Leung Tsui (INDIN, 2015)

Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis. - Xiaohang Jin; Tommy W. S. Chow; Yi Sun; Jihong Shan; Bill C. P. Lau (Wirel. Networks, 2015)

A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis. - Xiaohang Jin; Fangzhou Cheng; Yayu Peng; Wei Qiao 001; Liyan Qu (IAS, 2016)

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Xiaohang Jin (IEEE Trans. Ind. Informatics, 2016)

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem. - Yu Wang 043; Yizhen Peng; Yanyang Zi; Xiaohang Jin; Kwok-Leung Tsui (IEEE Trans. Ind. Informatics, 2016)

Anomaly Detection and Fault Prognosis for Bearings. - Xiaohang Jin; Yi Sun; Zijun Que; Yu Wang 043; Tommy W. S. Chow (IEEE Trans. Instrum. Meas., 2016)

A Data-Driven Approach for Bearing Fault Prognostics. - Xiaohang Jin; Zijun Que; Yi Sun; Yuanjing Guo; Wei Qiao 001 (IAS, 2018)

Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. - Xiaohang Jin; Jicong Fan 001; Tommy W. S. Chow (IEEE Trans. Instrum. Meas., 2019)

Remaining Useful Life Prediction for Bearings Based on a Gated Recurrent Unit. - Zijun Que; Xiaohang Jin; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2021)

Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction. - Yuanjing Guo; Shaofei Jiang; Youdong Yang; Xiaohang Jin; Yanding Wei (Sensors, 2022)

Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index. - Yuanjing Guo; Youdong Yang; Shaofei Jiang; Xiaohang Jin; Yanding Wei (Sensors, 2022)

Spatio-Temporal Fusion Attention: A Novel Approach for Remaining Useful Life Prediction Based on Graph Neural Network. - Ziqian Kong; Xiaohang Jin; Zhengguo Xu; Bin Zhang 008 (IEEE Trans. Instrum. Meas., 2022)

Condition Monitoring of Wind Turbine Generators Based on SCADA Data and Feature Transfer Learning. - Xiaohang Jin; Hao Wang 177; Ziqian Kong; Zhengguo Xu; Wei Qiao 001 (IEEE Access, 2023)

An Adaptive Condition Monitoring Method of Wind Turbines Based on Multivariate State Estimation Technique and Continual Learning. - Ziqi Wang 010; Xiaohang Jin; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2023)

Temporal Knowledge Graph Informer Network for Remaining Useful Life Prediction. - Yuanming Zhang; Weiyue Zhou; Jiacheng Huang; Xiaohang Jin; Gang Xiao 001 (IEEE Trans. Instrum. Meas., 2023)

A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction. - Ziqian Kong; Xiaohang Jin; Zhengguo Xu; Zian Chen (Reliab. Eng. Syst. Saf., 2023)

Global and local information integrated network for remaining useful life prediction. - Zian Chen; Xiaohang Jin; Ziqian Kong; Feng Wang 070; Zhengguo Xu (Eng. Appl. Artif. Intell., 2023)

Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure. - Yuling Zhan; Ziqian Kong; Ziqi Wang 010; Xiaohang Jin; Zhengguo Xu (Reliab. Eng. Syst. Saf., 2024)

Remaining Useful Life Prediction of Radioisotope Thermoelectric Generator Using a Component-Level Mechanism-Based Nonlinear Additive Wiener Process. - Zixuan He; Ziqian Kong; Xiaohang Jin; Zijun Que; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2024)

A Guided Multiobjective Optimization Method for Attenuation Calibration in Distributed Fiber Sensing. - Jiamu Ling; Chenli Shi; Feng Wang 070; Wei Ye; Xiaohang Jin; Zhuangwei Xu; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2024)

Incremental Learning Method for Wind Turbine Fault Detection Models Considering False Negatives. - Ziqi Wang 010; Xiaohang Jin; Zhengguo Xu (IEEE Trans. Instrum. Meas., 2024)

Spatio-Temporal Feature Alignment Transfer Learning for Cross-Turbine Blade Icing Detection of Wind Turbines. - Ruxu Yue; Guoqian Jiang; Xiaohang Jin; Qun He; Ping Xie (IEEE Trans. Instrum. Meas., 2024)

Current-Aided Vibration Fusion Network for Fault Diagnosis in Electromechanical Drive System. - Ruchun Zhao; Guoqian Jiang; Qun He; Xiaohang Jin; Ping Xie (IEEE Trans. Instrum. Meas., 2024)

Remaining Useful Life Prediction Based on Incremental Learning. - Zijun Que; Xiaohang Jin; Zhengguo Xu; Chang Hu (IEEE Trans. Reliab., 2024)