Di Liu

Orcid: 0000-0002-8232-4089

Affiliations:
  • Beihang University, School of Automation Science and Electrical Engineering, Beijing, China


According to our database1, Di Liu authored at least 11 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
A reliability estimation method based on signal feature extraction and artificial neural network supported Wiener process with random effects.
Appl. Soft Comput., March, 2023

A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data.
Qual. Reliab. Eng. Int., February, 2023

2022
An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error.
Reliab. Eng. Syst. Saf., 2022

Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process.
Appl. Math. Comput., 2022

2021
A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time.
IEEE Trans. Biomed. Eng., 2021

An artificial neural network supported stochastic process for degradation modeling and prediction.
Reliab. Eng. Syst. Saf., 2021

Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process.
Reliab. Eng. Syst. Saf., 2021

Reliability estimation by fusing multiple-source information based on evidential variable and Wiener process.
Comput. Ind. Eng., 2021

2020
A degradation modeling and reliability estimation method based on Wiener process and evidential variable.
Reliab. Eng. Syst. Saf., 2020

An evidence theory based model fusion method for degradation modeling and statistical analysis.
Inf. Sci., 2020

2018
Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process.
Reliab. Eng. Syst. Saf., 2018


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