Di Liu
Orcid: 0000-0002-8232-4089Affiliations:
- Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
According to our database1,
Di Liu
authored at least 12 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Research on Classification Maintenance Strategy for More Electric Aircraft Actuation Systems Based on Importance Measure.
Symmetry, September, 2024
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