Zhenan Pang

Orcid: 0000-0003-4309-4003

According to our database1, Zhenan Pang authored at least 14 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime.
IEEE Trans. Syst. Man Cybern. Syst., 2023

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system.
Reliab. Eng. Syst. Saf., 2023

2022
An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System.
IEEE CAA J. Autom. Sinica, 2022

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

2021
A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data.
Reliab. Eng. Syst. Saf., 2021

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

2020
A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing.
IEEE Trans. Ind. Electron., 2020

A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction.
IEEE Access, 2020

2019
An Adaptive Remaining Useful Life Estimation Approach for Newly Developed System Based on Nonlinear Degradation Model.
IEEE Access, 2019

Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales.
IEEE Access, 2019

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

SAR Ship Detection Under Complex Background Based on Attention Mechanism.
Proceedings of the Image and Graphics Technologies and Applications, 2019

2018
A multi-stage Wiener process-based prognostic model for equipment considering the influence of imperfect maintenance activities.
J. Intell. Fuzzy Syst., 2018

2016
Sample-Data Control of Optimal Tracking for a Class of Non-linear Systems via Discrete-Time State Dependent Riccati Equation.
Proceedings of the Intelligent Autonomous Systems 14, 2016


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