Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes. - Jian-xun Zhang 001; Chang-Hua Hu; Xiao-Sheng Si; Zhi-Jie Zhou 001; Dang-bo Du (Qual. Reliab. Eng. Int., 2014)

Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects. - Zhengxin Zhang; Changhua Hu; Xiaosheng Si; Jianxun Zhang 001; Jian-Fei Zheng (J. Frankl. Inst., 2017)

Degradation Data-Driven Remaining Useful Life Estimation in the Absence of Prior Degradation Knowledge. - Yong Yu 013; Changhua Hu; Xiaosheng Si; Jianxun Zhang 001 (J. Control. Sci. Eng., 2017)

Lifetime prognostics for deteriorating systems with time-varying random jumps. - Jian-Xun Zhang 001; Chang-Hua Hu; Xiao He 001; Xiao-Sheng Si; Yang Liu 099; Dong-Hua Zhou (Reliab. Eng. Syst. Saf., 2017)

Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations. - Dang-Bo Du; Jian-Xun Zhang 001; Zhi-Jie Zhou 001; Xiao-Sheng Si; Chang-Hua Hu (J. Control. Sci. Eng., 2018)

Specification analysis of the deteriorating sensor for required lifetime prognostic performance. - Jian-Xun Zhang 001; Xiao-Sheng Si; Dang-Bo Du; Chang-Hua Hu (Microelectron. Reliab., 2018)

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)

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty. - Yong Yu 013; Changhua Hu; Xiaosheng Si; Jianxun Zhang 001 (IEEE Access, 2019)

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures. - Yong Yu 013; Xiaosheng Si; Changhua Hu; Jianxun Zhang 001 (Neural Comput., 2019)

Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps. - Jianxun Zhang 001; Xiaosheng Si; Dangbo Du; Chen Hu; Changhua Hu (Sensors, 2019)

A Novel Lifetime Estimation Method for Two-Phase Degrading Systems. - Jian-Xun Zhang 001; Chang-Hua Hu; Xiao He 001; Xiao-Sheng Si; Yang Liu 099; Dong-Hua Zhou (IEEE Trans. Reliab., 2019)

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset. - Yong Yu 013; Changhua Hu; Xiaosheng Si; Jian-Fei Zheng; Jian-xun Zhang 001 (Neurocomputing, 2020)

A novel iterative approach of lifetime estimation for standby systems with deteriorating spare parts. - Jian-Xun Zhang 001; Xiao-Sheng Si; Dangbo Du; Chang-Hua Hu; Chen Hu (Reliab. Eng. Syst. Saf., 2020)

Remaining Useful Life Prediction of Lithium Battery with Enhanced Bi-LSTM Network. - Hao Zhang; Dangbo Du; Changhua Hu; Jianxun Zhang 001; Shengfei Zhang; Yuanxing Xing (CAA SAFEPROCESS, 2021)

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method. - Yong Yu 013; Xiaosheng Si; Changhua Hu; Jian-Fei Zheng; Jianxun Zhang 001 (Sci. China Inf. Sci., 2021)

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)

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts. - Jian-Xun Zhang 001; Dang-Bo Du; Xiao-Sheng Si; Chang-Hua Hu; Han-Wen Zhang (Reliab. Eng. Syst. Saf., 2021)

Prognostics Based on Stochastic Degradation Process: The Last Exit Time Perspective. - Jian-Xun Zhang 001; Dang-Bo Du; Xiao-Sheng Si; Yang Liu 099; Chang-Hua Hu (IEEE Trans. Reliab., 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)

Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective. - Xiao-Sheng Si; Tianmei Li 001; Jianxun Zhang 001; Yaguo Lei (Reliab. Eng. Syst. Saf., 2022)

Nonstationary Process Monitoring for Blast Furnaces Based on Consistent Trend Feature Analysis. - Hanwen Zhang 002; Jun Shang; Jianxun Zhang 001; Chunjie Yang 001 (IEEE Trans. Control. Syst. Technol., 2022)

Remaining useful life estimation for two-phase nonlinear degradation processes. - Changhua Hu; Yuanxing Xing; Dangbo Du; Xiaosheng Si; Jianxun Zhang 001 (Reliab. Eng. Syst. Saf., 2023)

A lifetime estimation method for multi-component degrading systems with deteriorating spare parts. - Zhengxin Zhang; Jianxun Zhang 001; Dangbo Du; Tianmei Li 003; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2023)

An optimal condition-based maintenance policy for nonlinear stochastic degrading systems. - Zhengxin Zhang; Huiqin Li; Tianmei Li 003; Jianxun Zhang 001; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2024)

Remaining useful life prediction for stochastic degrading devices incorporating quantization. - Jian-Xun Zhang 001; Jia-Ling Zhang; Zheng-Xin Zhang; Tian-Mei Li 001; Xiao-Sheng Si (Reliab. Eng. Syst. Saf., 2024)

Remaining useful life prediction method for rolling bearings based on hybrid dilated convolution transfer. - Bo Zhang; Changhua Hu; Hao Zhang; Jianfei Zheng; Jianxun Zhang 001; Hong Pei (Qual. Reliab. Eng. Int., 2024)

Specifying Quantization Characteristics for Required Lifetime Prognostic Performance. - Qing Dong; Jian-xun Zhang 001; Changhua Hu; Zhengxin Zhang; Dangbo Du; Hong Pei (IEEE Trans. Instrum. Meas., 2025)