Guangxing Niu

According to our database, Guangxing Niu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion.

Guangxing Niu, Enhui Liu, Xuan Wang, Bin Zhang

IEEE Trans. Ind. Informatics, January, 2024

2023

Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model.

Enhui Liu, Guangxing Niu, Dongzhen Lyu, Tao Yang, Bin Zhang

IEEE Trans. Instrum. Meas., 2023

Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion.

Guangxing Niu, Enhui Liu, Xuan Wang, Paul Ziehl, Bin Zhang

IEEE Trans. Ind. Informatics, 2023

2022

Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis.

Heng Zhang, Guangxing Niu, Bin Zhang, Qiang Miao

IEEE Trans. Ind. Electron., 2022

Lebesgue Sampling Based Deep Belief Network for Lithium-Ion Battery Diagnosis and Prognosis.

Guangxing Niu, Xuan Wang, Enhui Liu, Bin Zhang

IEEE Trans. Ind. Electron., 2022

Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis.

Dongzhen Lyu, Guangxing Niu, Enhui Liu, Tao Yang, Gang Chen, Bin Zhang

IEEE Trans. Ind. Electron., 2022

Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction.

Enhui Liu, Xuan Wang, Guangxing Niu, Dongzhen Lyu, Tao Yang, Bin Zhang

IEEE Trans. Ind. Electron., 2022

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation.

Dongzhen Lyu, Guangxing Niu, Enhui Liu, Bin Zhang, Gang Chen, Tao Yang, Enrico Zio

Reliab. Eng. Syst. Saf., 2022

2021

Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems.

Dongzhen Lyu, Guangxing Niu, Bin Zhang, Gang Chen, Tao Yang

IEEE Trans. Ind. Electron., 2021

Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion.

John Weddington, Guangxing Niu, Renxiang Chen, Wuzhao Yan, Bin Zhang

Neurocomputing, 2021

An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis.

Guangxing Niu, Xuan Wang, Michael Golda, Stephen Mastro, Bin Zhang

Neurocomputing, 2021

SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries.

Enhui Liu, Guangxing Niu, Xuan Wang, Bin Zhang

Proceedings of the IECON 2021, 2021

A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data.

Guangxing Niu, Enhui Liu, Bin Zhang, Michael Golda, Stephen Mastro

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis.

Dongzhen Lyu, Guangxing Niu, Tao Yang, Chen Gang, Bin Zhang

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2019

A Battery Management System With a Lebesgue-Sampling-Based Extended Kalman Filter.

Wuzhao Yan, Bin Zhang, Guangquan Zhao, Shijie Tang, Guangxing Niu, Xiaofeng Wang

IEEE Trans. Ind. Electron., 2019

2018

Machine Condition Prediction Based on Long Short Term Memory and Particle Filtering.

Guangxing Niu, Shijie Tang, Bin Zhang

Proceedings of the IECON 2018, 2018

2017

Uncertainty Management in Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion Battery.

Wuzhao Yan, Bin Zhang, Guangquan Zhao, John Weddington, Guangxing Niu

IEEE Trans. Ind. Electron., 2017

State-of-charge estimation of Lithium-ion batteries by Lebesgue sampling-based EKF method.

Wuzhao Yan, Guangxing Niu, Shijie Tang, Bin Zhang

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017