Di Liu

According to our database, Di Liu authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A bivariate dependent degradation model based on artificial neural network supported stochastic process and Copula function.

Di Liu, Xiaochuan Duan, Shaoping Wang, Jian Shi, Yaoxing Shang

Qual. Reliab. Eng. Int., February, 2025

Fault diagnosis using liquid state machine with spiking-timing-dependent plasticity learning rule.

Yi Wan, Shaoping Wang, Di Liu

Expert Syst. Appl., 2025

2024

Research on Classification Maintenance Strategy for More Electric Aircraft Actuation Systems Based on Importance Measure.

Xiaoyu Cui, Xuanhao Li, Zhiyao Zhao, Jiabin Yu, Di Liu

Symmetry, September, 2024

Reliability model based on fault energy dissipation for mechatronic system.

Yajing Qiao, Shaoping Wang, Jian Shi, Di Liu, Mo Tao

Reliab. Eng. Syst. Saf., 2024

GA based construction of maximin latin hypercube designs for uncertainty design of experiment with dynamic strategy management.

Dong Liu, Shaoping Wang, Jian Shi, Di Liu

Appl. Soft Comput., 2024

2023

A reliability estimation method based on signal feature extraction and artificial neural network supported Wiener process with random effects.

Di Liu, Xiaochuan Duan, Shaoping Wang, Xiaoyu Cui, Xiao Wu, Yu Niu, Jian Shi

Appl. Soft Comput., March, 2023

A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data.

Jian Shi, Yajing Qiao, Shaoping Wang, Xiaoyu Cui, Di Liu

Qual. Reliab. Eng. Int., February, 2023

A Method for Degradation Modeling and Prediction Based on Inverse Gaussian Process Supported by Artificial Neural Network.

Xiaochuan Duan, Di Liu, Shaoping Wang, Yaoxing Shang

Proceedings of the 9th International Symposium on System Security, Safety, and Reliability, 2023

2022

An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error.

Di Liu, Shaoping Wang, Xiaoyu Cui

Reliab. Eng. Syst. Saf., 2022

Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process.

Di Liu, Shaoping Wang, Chao Zhang

Appl. Math. Comput., 2022

2021

A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time.

Weijie Wang, Shaoping Wang, Xingjian Wang, Di Liu, Yixuan Geng, Teresa Wu

IEEE Trans. Biomed. Eng., 2021

An artificial neural network supported stochastic process for degradation modeling and prediction.

Di Liu, Shaoping Wang

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.

Di Liu, Shaoping Wang

Reliab. Eng. Syst. Saf., 2021

Reliability estimation by fusing multiple-source information based on evidential variable and Wiener process.

Di Liu, Shaoping Wang, Chao Zhang

Comput. Ind. Eng., 2021

2020

A degradation modeling and reliability estimation method based on Wiener process and evidential variable.

Di Liu, Shaoping Wang

Reliab. Eng. Syst. Saf., 2020

An evidence theory based model fusion method for degradation modeling and statistical analysis.

Di Liu, Shaoping Wang, Mileta M. Tomovic, Chao Zhang

Inf. Sci., 2020

2018

Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process.

Di Liu, Shaoping Wang, Chao Zhang, Mileta M. Tomovic

Reliab. Eng. Syst. Saf., 2018