State-of-charge estimation of Lithium-ion batteries by Lebesgue sampling-based EKF method. - Wuzhao Yan; Guangxing Niu; Shijie Tang; Bin Zhang 008 (IECON, 2017)

Uncertainty Management in Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion Battery. - Wuzhao Yan; Bin Zhang 008; Guangquan Zhao; John Weddington; Guangxing Niu (IEEE Trans. Ind. Electron., 2017)

Machine Condition Prediction Based on Long Short Term Memory and Particle Filtering. - Guangxing Niu; Shijie Tang; Bin Zhang 008 (IECON, 2018)

A Battery Management System With a Lebesgue-Sampling-Based Extended Kalman Filter. - Wuzhao Yan; Bin Zhang 008; Guangquan Zhao; Shijie Tang; Guangxing Niu; Xiaofeng Wang 007 (IEEE Trans. Ind. Electron., 2019)

Uncertainty Analysis in the Application of Fault Diagnosis and Prognosis. - Dongzhen Lyu; Guangxing Niu; Tao Yang 038; Chen Gang; Bin Zhang 008 (ICPS, 2021)

A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data. - Guangxing Niu; Enhui Liu; Bin Zhang 008; Michael Golda; Stephen Mastro (ICPS, 2021)

SOH Diagnostic and Prognostic Based on External Health Indicator of Lithium-ion Batteries. - Enhui Liu; Guangxing Niu; Xuan Wang 012; Bin Zhang 008 (IECON, 2021)

An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis. - Guangxing Niu; Xuan Wang 012; Michael Golda; Stephen Mastro; Bin Zhang 008 (Neurocomputing, 2021)

Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion. - John Weddington; Guangxing Niu; Renxiang Chen; Wuzhao Yan; Bin Zhang 008 (Neurocomputing, 2021)

Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems. - Dongzhen Lyu; Guangxing Niu; Bin Zhang 008; Gang Chen; Tao Yang 038 (IEEE Trans. Ind. Electron., 2021)

Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation. - Dongzhen Lyu; Guangxing Niu; Enhui Liu; Bin Zhang 008; Gang Chen; Tao Yang 038; Enrico Zio (Reliab. Eng. Syst. Saf., 2022)

Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction. - Enhui Liu; Xuan Wang 012; Guangxing Niu; Dongzhen Lyu; Tao Yang 038; Bin Zhang 008 (IEEE Trans. Ind. Electron., 2022)

Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis. - Dongzhen Lyu; Guangxing Niu; Enhui Liu; Tao Yang 038; Gang Chen; Bin Zhang 008 (IEEE Trans. Ind. Electron., 2022)

Lebesgue Sampling Based Deep Belief Network for Lithium-Ion Battery Diagnosis and Prognosis. - Guangxing Niu; Xuan Wang 012; Enhui Liu; Bin Zhang 008 (IEEE Trans. Ind. Electron., 2022)

Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis. - Heng Zhang 039; Guangxing Niu; Bin Zhang 008; Qiang Miao (IEEE Trans. Ind. Electron., 2022)

Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion. - Guangxing Niu; Enhui Liu; Xuan Wang 012; Paul Ziehl; Bin Zhang 008 (IEEE Trans. Ind. Informatics, 2023)

Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction With SFP Model. - Enhui Liu; Guangxing Niu; Dongzhen Lyu; Tao Yang 038; Bin Zhang 008 (IEEE Trans. Instrum. Meas., 2023)

A Hybrid Bearing Prognostic Method With Fault Diagnosis and Model Fusion. - Guangxing Niu; Enhui Liu; Xuan Wang 012; Bin Zhang 008 (IEEE Trans. Ind. Informatics, 2024)