TY - GEN
T1 - Research on Reliability Modeling of Bivariate Correlation Degradation Based on Nonlinear Wiener Process
AU - Li, H. R.
AU - Zhao, G. Y.
AU - Yao, H. M.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The performance of a product tends to degrade gradually with the use process, thus affecting its service life. Therefore, the research on the degradation process is helpful to grasp the residual life of products. Based on nonlinear Wiener process, the paper conducts a bivariate correlation degradation reliability modeling research. Firstly, the overall and partial correlations between two degenerate variables are calculated using the cosine similarity measure. Then, according to the calculation results and the characteristics of each copula function, select the appropriate copula function. Finally, a bivariate degradation model based on nonlinear Wiener process is established. Through the example analysis, the degradation fitting curve and degradation test results of bivariate degraded products are obtained by using the model, which has a good fitting degree and verifies the effectiveness of the model.
AB - The performance of a product tends to degrade gradually with the use process, thus affecting its service life. Therefore, the research on the degradation process is helpful to grasp the residual life of products. Based on nonlinear Wiener process, the paper conducts a bivariate correlation degradation reliability modeling research. Firstly, the overall and partial correlations between two degenerate variables are calculated using the cosine similarity measure. Then, according to the calculation results and the characteristics of each copula function, select the appropriate copula function. Finally, a bivariate degradation model based on nonlinear Wiener process is established. Through the example analysis, the degradation fitting curve and degradation test results of bivariate degraded products are obtained by using the model, which has a good fitting degree and verifies the effectiveness of the model.
KW - bivariate correlation degradation
KW - copula
KW - nonlinear Wiener process
KW - reliability modeling
UR - https://www.scopus.com/pages/publications/85143055172
U2 - 10.1109/ICRMS55680.2022.9944568
DO - 10.1109/ICRMS55680.2022.9944568
M3 - 会议稿件
AN - SCOPUS:85143055172
T3 - 13th International Conference on Reliability, Maintainability, and Safety: Reliability and Safety of Intelligent Systems, ICRMS 2022
SP - 223
EP - 227
BT - 13th International Conference on Reliability, Maintainability, and Safety
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022
Y2 - 21 August 2022 through 24 August 2022
ER -