Guangxing Niu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Fault Diagnosis

Particle Filtering

Decision Fusion

Top Venues

IEEE Trans. Ind. Electron.

IEEE Trans. Ind. Informatics

Publications

Guangxing Niu, Enhui Liu, Xuan Wang, Bin Zhang
A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion. IEEE Trans. Ind. Informatics 20 (1) (2024)
Enhui Liu, Guangxing Niu, Dongzhen Lyu, Tao Yang, Bin Zhang
Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model. IEEE Trans. Instrum. Meas. 72 (2023)
Guangxing Niu, Enhui Liu, Xuan Wang, Paul Ziehl, Bin Zhang
Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion. IEEE Trans. Ind. Informatics 19 (1) (2023)
Enhui Liu, Xuan Wang, Guangxing Niu, Dongzhen Lyu, Tao Yang, Bin Zhang
Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction. IEEE Trans. Ind. Electron. 69 (9) (2022)
Dongzhen Lyu, Guangxing Niu, Enhui Liu, Tao Yang, Gang Chen, Bin Zhang
Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis. IEEE Trans. Ind. Electron. 69 (5) (2022)
Guangxing Niu, Xuan Wang, Enhui Liu, Bin Zhang
Lebesgue Sampling Based Deep Belief Network for Lithium-Ion Battery Diagnosis and Prognosis. IEEE Trans. Ind. Electron. 69 (8) (2022)
Heng Zhang, Guangxing Niu, Bin Zhang, Qiang Miao
Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis. IEEE Trans. Ind. Electron. 69 (2) (2022)
Dongzhen Lyu, Guangxing Niu, Enhui Liu, Bin Zhang, Gang Chen, Tao Yang, Enrico Zio
Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation. Reliab. Eng. Syst. Saf. 226 (2022)
John Weddington, Guangxing Niu, Renxiang Chen, Wuzhao Yan, Bin Zhang
Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion. Neurocomputing 458 (2021)
Guangxing Niu, Enhui Liu, Bin Zhang, Michael Golda, Stephen Mastro
A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data. ICPS (2021)
Enhui Liu, Guangxing Niu, Xuan Wang, Bin Zhang
SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries. IECON (2021)
Dongzhen Lyu, Guangxing Niu, Bin Zhang, Gang Chen, Tao Yang
Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems. IEEE Trans. Ind. Electron. 68 (2) (2021)
Guangxing Niu, Xuan Wang, Michael Golda, Stephen Mastro, Bin Zhang
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis. Neurocomputing 445 (2021)
Dongzhen Lyu, Guangxing Niu, Tao Yang, Chen Gang, Bin Zhang
Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis. ICPS (2021)
Wuzhao Yan, Bin Zhang, Guangquan Zhao, Shijie Tang, Guangxing Niu, Xiaofeng Wang
A Battery Management System With a Lebesgue-Sampling-Based Extended Kalman Filter. IEEE Trans. Ind. Electron. 66 (4) (2019)
Guangxing Niu, Shijie Tang, Bin Zhang
Machine Condition Prediction Based on Long Short Term Memory and Particle Filtering. IECON (2018)
Wuzhao Yan, Guangxing Niu, Shijie Tang, Bin Zhang
State-of-charge estimation of Lithium-ion batteries by Lebesgue sampling-based EKF method. IECON (2017)
Wuzhao Yan, Bin Zhang, Guangquan Zhao, John Weddington, Guangxing Niu
Uncertainty Management in Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion Battery. IEEE Trans. Ind. Electron. 64 (10) (2017)