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Di Liu 0012
Person information
- affiliation: Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
Other persons with the same name
- Di Liu — disambiguation page
- Di Liu 0001
— Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Di Liu 0002
- Di Liu 0003 — Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
- Di Liu 0004 — Northeast Normal University, Changchun, China
- Di Liu 0005 — South China University of Technology, College ofAutomation Science and Engineering, Guangzhou, China
- Di Liu 0006
- Di Liu 0007
- Di Liu 0008
- Di Liu 0009
- Di Liu 0010
- Di Liu 0011
- Di Liu 0013
- Di Liu 0014
- Di Liu 0015
- Di Liu 0016
- Di Liu 0017
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2020 – today
- 2023
- [j11]Di Liu, Xiaochuan Duan, Shaoping Wang, Xiaoyu Cui, Xiao Wu, Yu Niu, Jian Shi
A reliability estimation method based on signal feature extraction and artificial neural network supported Wiener process with random effects. Appl. Soft Comput. 136: 110044 (2023) - [j10]Jian Shi, Yajing Qiao, Shaoping Wang, Xiaoyu Cui, Di Liu
A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data. Qual. Reliab. Eng. Int. 39(1): 229-243 (2023) - 2022
- [j9]Di Liu, Shaoping Wang, Chao Zhang:
Reliability estimation from two types of accelerated testing data based on an artificial neural network supported Wiener process. Appl. Math. Comput. 417: 126757 (2022) - [j8]Di Liu, Shaoping Wang, Xiaoyu Cui:
An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error. Reliab. Eng. Syst. Saf. 218(Part): 108162 (2022) - 2021
- [j7]Di Liu, Shaoping Wang, Chao Zhang:
Reliability estimation by fusing multiple-source information based on evidential variable and Wiener process. Comput. Ind. Eng. 162: 107745 (2021) - [j6]Di Liu
Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process. Reliab. Eng. Syst. Saf. 205: 107231 (2021) - [j5]Di Liu, Shaoping Wang:
An artificial neural network supported stochastic process for degradation modeling and prediction. Reliab. Eng. Syst. Saf. 214: 107738 (2021) - [j4]Weijie Wang
A Glucose-Insulin Mixture Model and Application to Short-Term Hypoglycemia Prediction in the Night Time. IEEE Trans. Biomed. Eng. 68(3): 834-845 (2021) - 2020
- [j3]Di Liu
An evidence theory based model fusion method for degradation modeling and statistical analysis. Inf. Sci. 532: 33-60 (2020) - [j2]Di Liu
A degradation modeling and reliability estimation method based on Wiener process and evidential variable. Reliab. Eng. Syst. Saf. 202: 106957 (2020)
2010 – 2019
- 2018
- [j1]Di Liu
Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process. Reliab. Eng. Syst. Saf. 180: 25-38 (2018)
Coauthor Index
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