Jianxun Zhang

According to our database, Jianxun Zhang authored at least 26 papers between 2014 and 2024.

Collaborative distances:

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

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, Hong Pei

Qual. Reliab. Eng. Int., October, 2024

Remaining useful life prediction for stochastic degrading devices incorporating quantization.

Jian-Xun Zhang, Jia-Ling Zhang, Zheng-Xin Zhang, Tian-Mei Li, Xiao-Sheng Si

Reliab. Eng. Syst. Saf., 2024

An optimal condition-based maintenance policy for nonlinear stochastic degrading systems.

Zhengxin Zhang, Huiqin Li, Tianmei Li, Jianxun Zhang, Xiaosheng Si

Reliab. Eng. Syst. Saf., 2024

2023

A lifetime estimation method for multi-component degrading systems with deteriorating spare parts.

Zhengxin Zhang, Jianxun Zhang, Dangbo Du, Tianmei Li, Xiaosheng Si

Reliab. Eng. Syst. Saf., October, 2023

Remaining useful life estimation for two-phase nonlinear degradation processes.

Changhua Hu, Yuanxing Xing, Dangbo Du, Xiaosheng Si, Jianxun Zhang

Reliab. Eng. Syst. Saf., 2023

2022

Nonstationary Process Monitoring for Blast Furnaces Based on Consistent Trend Feature Analysis.

Hanwen Zhang, Jun Shang, Jianxun Zhang, Chunjie Yang

IEEE Trans. Control. Syst. Technol., 2022

Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective.

Xiao-Sheng Si, Tianmei Li, Jianxun Zhang, Yaguo Lei

Reliab. Eng. Syst. Saf., 2022

Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method.

Hong Pei, Xiaosheng Si, Changhua Hu, Jianxun Zhang, Dangbo Du, Zhenan Pang, Shengfei Zhang

Sci. China Inf. Sci., 2022

2021

Prognostics Based on Stochastic Degradation Process: The Last Exit Time Perspective.

Jian-Xun Zhang, Dang-Bo Du, Xiao-Sheng Si, Yang Liu, Chang-Hua Hu

IEEE Trans. Reliab., 2021

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts.

Jian-Xun Zhang, Dang-Bo Du, Xiao-Sheng Si, Chang-Hua Hu, Han-Wen Zhang

Reliab. Eng. Syst. Saf., 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, Jianxun Zhang, Zhenan Pang

Neurocomputing, 2021

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method.

Yong Yu, Xiaosheng Si, Changhua Hu, Jian-Fei Zheng, Jianxun Zhang

Sci. China Inf. Sci., 2021

Remaining Useful Life Prediction of Lithium Battery with Enhanced Bi-LSTM Network.

Hao Zhang, Dangbo Du, Changhua Hu, Jianxun Zhang, Shengfei Zhang, Yuanxing Xing

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

A novel iterative approach of lifetime estimation for standby systems with deteriorating spare parts.

Jian-Xun Zhang, Xiao-Sheng Si, Dangbo Du, Chang-Hua Hu, Chen Hu

Reliab. Eng. Syst. Saf., 2020

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset.

Yong Yu, Changhua Hu, Xiaosheng Si, Jian-Fei Zheng, Jian-xun Zhang

Neurocomputing, 2020

2019

A Novel Lifetime Estimation Method for Two-Phase Degrading Systems.

Jian-Xun Zhang, Chang-Hua Hu, Xiao He, Xiao-Sheng Si, Yang Liu, Dong-Hua Zhou

IEEE Trans. Reliab., 2019

Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps.

Jianxun Zhang, Xiaosheng Si, Dangbo Du, Chen Hu, Changhua Hu

Sensors, 2019

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures.

Yong Yu, Xiaosheng Si, Changhua Hu, Jianxun Zhang

Neural Comput., 2019

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty.

Yong Yu, Changhua Hu, Xiaosheng Si, Jianxun Zhang

IEEE Access, 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, Dangbo Du, Hong Pei

IEEE Access, 2019

2018

Specification analysis of the deteriorating sensor for required lifetime prognostic performance.

Jian-Xun Zhang, Xiao-Sheng Si, Dang-Bo Du, Chang-Hua Hu

Microelectron. Reliab., 2018

Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations.

Dang-Bo Du, Jian-Xun Zhang, Zhi-Jie Zhou, Xiao-Sheng Si, Chang-Hua Hu

J. Control. Sci. Eng., 2018

2017

Lifetime prognostics for deteriorating systems with time-varying random jumps.

Jian-Xun Zhang, Chang-Hua Hu, Xiao He, Xiao-Sheng Si, Yang Liu, Dong-Hua Zhou

Reliab. Eng. Syst. Saf., 2017

Degradation Data-Driven Remaining Useful Life Estimation in the Absence of Prior Degradation Knowledge.

Yong Yu, Changhua Hu, Xiaosheng Si, Jianxun Zhang

J. Control. Sci. Eng., 2017

Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects.

Zhengxin Zhang, Changhua Hu, Xiaosheng Si, Jianxun Zhang, Jian-Fei Zheng

J. Frankl. Inst., 2017

2014

Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes.

Jian-xun Zhang, Chang-Hua Hu, Xiao-Sheng Si, Zhi-Jie Zhou, Dang-bo Du

Qual. Reliab. Eng. Int., 2014