Reliability Assessment of Systems with Multiple Performance Characteristic by Fusing Random Effects Wiener Processes with R-vine Copula

Overview & Synopsis

In the production process, there are inevitable differences and correlations between the performance characteristics (PCs) of different batches of multi-PCs systems, and it is a challenge to accurately assess the reliability of such systems. The following work is carried out in this paper to address the above problems: on the one hand, for each PC in the system, a Wiener process based on random effects is introduced to describe the degradation process; on the other hand, the correlation between different PC in the system is described by using the R-vine copula and the optimal R-vine structure is determined based on an algorithm, and parameter estimation is carried out to achieve the reliability assessment of the degradation data of the given different systems. Finally, the degradation process of a typical three-phase inverter circuit is used to illustrate the feasibility of the method.