Hong Pei

Orcid: 0000-0002-9105-0120

According to our database1, Hong Pei authored at least 18 papers between 2014 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective.
Reliab. Eng. Syst. Saf., September, 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
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

Joint Decision for Spare Part Ordering and Equipment Replacement Based on Prognostic Information.
Proceedings of the CAA Symposium on Fault Detection, 2021

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

NHPP Testability Growth Model Considering Testability Growth Effort, Rectifying Delay, and Imperfect Correction.
IEEE Access, 2020

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

2019
An Adaptive Prognostic Approach for Newly Developed System With Three-Source Variability.
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

MSARN: A Deep Neural Network Based on an Adaptive Recalibration Mechanism for Multiscale and Arbitrary-Oriented SAR Ship Detection.
IEEE Access, 2019

A Deep Neural Network Based on an Attention Mechanism for SAR Ship Detection in Multiscale and Complex Scenarios.
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

2014
Load Optimization of E-government System Based on Hiphop-PHP.
Proceedings of the Multidisciplinary Social Networks Research - International Conference, 2014


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