Di Liu

21 papers Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multiobjective Optimization Method for Collecting and Releasing Processes of Winch System Considering Wave Disturbance and Control Laws.
Int. J. Intell. Syst.
Xiaochuan Duan, Shaoping Wang, Jian Shi, Di Liu, Yaoxing Shang
2025 J jnl
A bivariate dependent degradation model based on artificial neural network supported stochastic process and Copula function.
Qual. Reliab. Eng. Int.
Di Liu, Xiaochuan Duan, Shaoping Wang, Jian Shi, Yaoxing Shang
2025 J jnl
A degradation modeling method based on artificial neural network supported Tweedie exponential dispersion process.
Adv. Eng. Informatics
Zhongze He, Shaoping Wang, Di Liu
2025 J jnl
A nonparametric degradation modeling method based on generalized stochastic process with B-spline function and Kolmogorov hypothesis test considering distribution uncertainty.
Comput. Ind. Eng.
Zhongze He, Shaoping Wang, Di Liu
2025 J jnl
Fault diagnosis using liquid state machine with spiking-timing-dependent plasticity learning rule.
Expert Syst. Appl.
Yi Wan, Shaoping Wang, Di Liu
2025 J jnl
Physics-informed neural network supported wiener process for degradation modeling and reliability prediction.
Reliab. Eng. Syst. Saf.
Zhongze He, Shaoping Wang, Jian Shi, Di Liu, Xiaochuan Duan, Yaoxing Shang
2024 J jnl
GA based construction of maximin latin hypercube designs for uncertainty design of experiment with dynamic strategy management.
Appl. Soft Comput.
Dong Liu, Shaoping Wang, Jian Shi, Di Liu
2024 J jnl
Reliability model based on fault energy dissipation for mechatronic system.
Reliab. Eng. Syst. Saf.
Yajing Qiao, Shaoping Wang, Jian Shi, Di Liu, Mo Tao
2024 J jnl
Research on Classification Maintenance Strategy for More Electric Aircraft Actuation Systems Based on Importance Measure.
Symmetry
Xiaoyu Cui, Xuanhao Li, Zhiyao Zhao, Jiabin Yu, Di Liu
2023 — conf
A Method for Degradation Modeling and Prediction Based on Inverse Gaussian Process Supported by Artificial Neural Network.
ISSSR
Xiaochuan Duan, Di Liu, Shaoping Wang, Yaoxing Shang
2023 J jnl
A reliability estimation method based on signal feature extraction and artificial neural network supported Wiener process with random effects.
Appl. Soft Comput.
Di Liu, Xiaochuan Duan, Shaoping Wang, Xiaoyu Cui, Xiao Wu, Yu Niu, Jian Shi
2023 J jnl
A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data.
Qual. Reliab. Eng. Int.
Jian Shi, Yajing Qiao, Shaoping Wang, Xiaoyu Cui, Di Liu
2022 J jnl
An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error.
Reliab. Eng. Syst. Saf.
Di Liu, Shaoping Wang, Xiaoyu Cui
2022 J jnl
Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process.
Appl. Math. Comput.
Di Liu, Shaoping Wang, Chao Zhang
2021 J jnl
A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time.
IEEE Trans. Biomed. Eng.
Weijie Wang, Shaoping Wang, Xingjian Wang, Di Liu, Yixuan Geng, Teresa Wu
2021 J jnl
An artificial neural network supported stochastic process for degradation modeling and prediction.
Reliab. Eng. Syst. Saf.
Di Liu, Shaoping Wang
2021 J jnl
Reliability estimation by fusing multiple-source information based on evidential variable and Wiener process.
Comput. Ind. Eng.
Di Liu, Shaoping Wang, Chao Zhang
2021 J jnl
Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process.
Reliab. Eng. Syst. Saf.
Di Liu, Shaoping Wang
2020 J jnl
A degradation modeling and reliability estimation method based on Wiener process and evidential variable.
Reliab. Eng. Syst. Saf.
Di Liu, Shaoping Wang
2020 J jnl
An evidence theory based model fusion method for degradation modeling and statistical analysis.
Inf. Sci.
Di Liu, Shaoping Wang, Mileta M. Tomovic, Chao Zhang
2018 J jnl
Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process.
Reliab. Eng. Syst. Saf.
Di Liu, Shaoping Wang, Chao Zhang, Mileta M. Tomovic