A Battery Management System With a Lebesgue-Sampling-Based Extended Kalman Filter von Yan, Wuzhao, Zhang, Bin, Zhao, Guangquan, Tang, Shijie, Niu, Guangxing, Wang, Xiaofeng

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A novel approach for analog circuit fault diagnosis based on Deep Belief Network von Zhao, Guangquan, Liu, Xiaoyong, Zhang, Bin, Liu, Yuefeng, Niu, Guangxing, Hu, Cong

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Uncertainty Management in Lebesgue-Sampling-Based Diagnosis and Prognosis for Lithium-Ion Battery von Wuzhao Yan, Bin Zhang, Guangquang Zhao, Weddington, John, Guangxing Niu

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Keystroke Dynamics Identification Based on Triboelectric Nanogenerator for Intelligent Keyboard Using Deep Learning Method von Zhao, Guangquan, Yang, Jin, Chen, Jun, Zhu, Guang, Jiang, Zedong, Liu, Xiaoyong, Niu, Guangxing, Wang, Zhong Lin, Zhang, Bin

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An optimized adaptive PReLU-DBN for rolling element bearing fault diagnosis von Niu, Guangxing, Wang, Xuan, Golda, Michael, Mastro, Stephen, Zhang, Bin

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Lebesgue Sampling Based Deep Belief Network for Lithium-Ion Battery Diagnosis and Prognosis von Niu, Guangxing, Wang, Xuan, Liu, Enhui, Zhang, Bin

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Enhanced Discriminate Feature Learning Deep Residual CNN for Multitask Bearing Fault Diagnosis With Information Fusion von Niu, Guangxing, Liu, Enhui, Wang, Xuan, Ziehl, Paul, Zhang, Bin

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Cost-Effective Lebesgue Sampling Long Short-Term Memory Networks for Lithium-Ion Batteries Diagnosis and Prognosis von Zhang, Heng, Niu, Guangxing, Zhang, Bin, Miao, Qiang

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Lithium-ion battery diagnostics and prognostics enhanced with Dempster-Shafer decision fusion von Weddington, John, Niu, Guangxing, Chen, Renxiang, Yan, Wuzhao, Zhang, Bin

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Lebesgue-Time-Space-Model-Based Diagnosis and Prognosis for Multiple Mode Systems von Lyu, Dongzhen, Niu, Guangxing, Zhang, Bin, Chen, Gang, Yang, Tao

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A Hybrid Bearing Prognostic Method with Fault Diagnosis and Model Fusion von Niu, Guangxing, Liu, Enhui, Wang, Xuan, Zhang, Bin

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Low-Cost Adaptive LS-DEKF for SOC Estimation and RDT Prediction with SFP Model von Liu, Enhui, Niu, Guangxing, Lyu, Dongzhen, Yang, Tao, Zhang, Bin

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Lebesgue Sampling-Based Li-Ion Battery Simplified First Principle Model for SOC Estimation and RDT Prediction von Liu, Enhui, Wang, Xuan, Niu, Guangxing, Lyu, Dongzhen, Yang, Tao, Zhang, Bin

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Uncertainty Management and Differential Model Decomposition for Fault Diagnosis and Prognosis von Lyu, Dongzhen, Niu, Guangxing, Liu, Enhui, Yang, Tao, Chen, Gang, Zhang, Bin

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Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation von Lyu, Dongzhen, Niu, Guangxing, Liu, Enhui, Zhang, Bin, Chen, Gang, Yang, Tao, Zio, Enrico

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Uncertainty Management in Lebesgue-Sampling-Based Li-Ion Battery SFP Model for SOC Estimation and RDT Prediction von Liu, Enhui, Wang, Xuan, Niu, Guangxing, Lyu, Dongzhen, Yang, Tao, Zhang, Bin

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Multi-Layer Extreme Learning Machine-Based Keystroke Dynamics Identification for Intelligent Keyboard von Zhao, Guangquan, Wu, Zhiyi, Gao, Yongcheng, Niu, Guangxing, Wang, Zhong Lin, Zhang, Bin

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Particle Filter based Diagnosis and Prognosis for Human Hydration States von Niu, Guangxing, Sen, Bing, Zhang, Bin, Chiao, J.-C.

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HYBRID BEARING FAULT PROGNOSIS WITH FAULT DETECTION AND MULTIPLE MODEL FUSION von NIU, GUANGXING, ZHANG, BIN

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LEBESGUE SAMPLING-BASED DEEP BELIEF NETWORK FOR LITHIUM-ION BATTERY DIAGNOSIS AND PROGNOSIS von NIU, GUANGXING, ZHANG, BIN

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