Sample-Data Control of Optimal Tracking for a Class of Non-linear Systems via Discrete-Time State Dependent Riccati Equation. - Fan Yang; Guoliang Zhang; Zhenan Pang; Lei Yuan (IAS, 2016)

A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities. - Hong Pei; Xiaosheng Si; Changhua Hu; Zhaoqiang Wang; Dangbo Du; Zhenan Pang (J. Intell. Fuzzy Syst., 2018)

SAR Ship Detection Under Complex Background Based on Attention Mechanism. - Chen Chen 051; Changhua Hu; Chuan He 003; Hong Pei; Zhenan Pang; Tong Zhao (IGTA, 2019)

Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability. - Zhenan Pang; Changhua Hu; Xiaosheng Si; Jianxun Zhang 001; Dangbo Du; Hong Pei (IEEE Access, 2019)

Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales. - Hong Pei; Changhua Hu; Xiaosheng Si; Jian-Fei Zheng; Qi Zhang 035; Zhengxin Zhang; Zhenan Pang (IEEE Access, 2019)

An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model. - Xi Wang; Changhua Hu; Xiaosheng Si; Zhenan Pang; Ziqiang Ren (IEEE Access, 2019)

A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction. - Tianmei Li 001; Hong Pei; Zhenan Pang; Xiaosheng Si; Jian-Fei Zheng (IEEE Access, 2020)

A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing. - Chang-Hua Hu; Hong Pei; Xiao-Sheng Si; Dang-Bo Du; Zhenan Pang; Xi Wang (IEEE Trans. Ind. Electron., 2020)

An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data. - Hong Pei; Xiao-Sheng Si; Chang-Hua Hu; Jian-Fei Zheng; Tianmei Li 001; Jianxun Zhang 001; Zhenan Pang (Neurocomputing, 2021)

A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data. - Zhenan Pang; Xiaosheng Si; Changhua Hu; Dangbo Du; Hong Pei (Reliab. Eng. Syst. Saf., 2021)

Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method. - Hong Pei; Xiaosheng Si; Changhua Hu; Jianxun Zhang 001; Dangbo Du; Zhenan Pang; Shengfei Zhang (Sci. China Inf. Sci., 2022)

An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System. - Zhenan Pang; Xiaosheng Si; Changhua Hu; Zhengxin Zhang (IEEE CAA J. Autom. Sinica, 2022)

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system. - Zhenan Pang; Tianmei Li 003; Hong Pei; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2023)

Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime. - Hong Pei; Xiao-Sheng Si; Changhua Hu; Tianmei Li 001; Chuan He 003; Zhenan Pang (IEEE Trans. Syst. Man Cybern. Syst., 2023)