Jianxun Zhang

Orcid: 0000-0002-6678-8297

Affiliations:
  • Xi'an Research Institute of High-Tech, Department of Automation, China


According to our database1, Jianxun Zhang authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A lifetime estimation method for multi-component degrading systems with deteriorating spare parts.
Reliab. Eng. Syst. Saf., October, 2023

Remaining useful life estimation for two-phase nonlinear degradation processes.
Reliab. Eng. Syst. Saf., 2023

2022
Nonlinear degradation modeling and prognostics: A Box-Cox transformation perspective.
Reliab. Eng. Syst. Saf., 2022

Prognostics based on the generalized diffusion process with parameters updated by a sequential Bayesian method.
Sci. China Inf. Sci., 2022

2021
Prognostics Based on Stochastic Degradation Process: The Last Exit Time Perspective.
IEEE Trans. Reliab., 2021

Joint optimization of preventive maintenance and inventory management for standby systems with hybrid-deteriorating spare parts.
Reliab. Eng. Syst. Saf., 2021

An adaptive prognostics method for fusing CDBN and diffusion process: Application to bearing data.
Neurocomputing, 2021

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method.
Sci. China Inf. Sci., 2021

Remaining Useful Life Prediction of Lithium Battery with Enhanced Bi-LSTM Network.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
A novel iterative approach of lifetime estimation for standby systems with deteriorating spare parts.
Reliab. Eng. Syst. Saf., 2020

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset.
Neurocomputing, 2020

2019
A Novel Lifetime Estimation Method for Two-Phase Degrading Systems.
IEEE Trans. Reliab., 2019

Lifetime Estimation for Multi-Phase Deteriorating Process with Random Abrupt Jumps.
Sensors, 2019

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures.
Neural Comput., 2019

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty.
IEEE Access, 2019

Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability.
IEEE Access, 2019

2018
Specification analysis of the deteriorating sensor for required lifetime prognostic performance.
Microelectron. Reliab., 2018

Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations.
J. Control. Sci. Eng., 2018

2017
Lifetime prognostics for deteriorating systems with time-varying random jumps.
Reliab. Eng. Syst. Saf., 2017

Degradation Data-Driven Remaining Useful Life Estimation in the Absence of Prior Degradation Knowledge.
J. Control. Sci. Eng., 2017

Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects.
J. Frankl. Inst., 2017

2014
Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes.
Qual. Reliab. Eng. Int., 2014


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