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ORCIDGuangxing Niu
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- affiliation: University of South Carolina, Columbia, SC, USA
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2020 – today
- 2024
[j13]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): 864-872 (2024)- 2023
- [j12]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): 762-770 (2023) - [j11]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: 1-9 (2023) - 2022
- [j10]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: 108686 (2022) - [j9]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): 1958-1967 (2022) - [j8]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): 5235-5246 (2022) - [j7]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): 8481-8490 (2022) - [j6]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): 9524-9534 (2022) - 2021
- [j5]Guangxing Niu, Xuan Wang, Michael Golda, Stephen Mastro, Bin Zhang:
An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis. Neurocomputing 445: 26-34 (2021) - [j4]John Weddington, Guangxing Niu, Renxiang Chen, Wuzhao Yan, Bin Zhang:
Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion. Neurocomputing 458: 440-453 (2021) - [j3]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): 1591-1603 (2021) - [c5]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: 655-660 - [c4]Dongzhen Lyu, Guangxing Niu, Tao Yang, Chen Gang, Bin Zhang:
Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis. ICPS 2021: 686-690 - [c3]Enhui Liu, Guangxing Niu, Xuan Wang, Bin Zhang:
SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries. IECON 2021: 1-6
2010 – 2019
- 2019
- [j2]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): 3227-3236 (2019) - 2018
- [c2]Guangxing Niu, Shijie Tang, Bin Zhang:
Machine Condition Prediction Based on Long Short Term Memory and Particle Filtering. IECON 2018: 5942-5947 - 2017
- [j1]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): 8158-8166 (2017) - [c1]Wuzhao Yan, Guangxing Niu, Shijie Tang, Bin Zhang:
State-of-charge estimation of Lithium-ion batteries by Lebesgue sampling-based EKF method. IECON 2017: 3233-3238
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