Hong Pei

Orcid: 0000-0002-9105-0120

According to our database¹, Hong Pei authored at least 21 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Remaining useful life prediction method for rolling bearings based on hybrid dilated convolution transfer.

[BibT_eX]

[DOI]

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

Lifetime prediction and replacement optimization for a standby system considering storage failures of spare parts.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

A prognostic model for multi-stage degraded equipment under zero life label combining CDBN and Bayesian bidirectional GRU.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

2023

Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., September, 2023

Bayesian Deep-Learning-Based Prognostic Model for Equipment Without Label Data Related to Lifetime.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2023

A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

2022

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

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

2021

A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

Joint Decision for Spare Part Ordering and Equipment Replacement Based on Prognostic Information.

[BibT_eX]

[DOI]

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

A Prognostic Model Based on DBN and Diffusion Process for Degrading Bearing.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

Remaining Useful Life Prediction for Nonlinear Degraded Equipment With Bivariate Time Scales.

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

SAR Ship Detection Under Complex Background Based on Attention Mechanism.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2018

2014

Load Optimization of E-government System Based on Hiphop-PHP.

[BibT_eX]

[DOI]

Proceedings of the Multidisciplinary Social Networks Research - International Conference, 2014

Hong Pei

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