Wireless sensor health state analysis under perturbation
Shukun Jin, Xingyu Mu · 2024
Wireless Sensor (WS) is widely used in the state monitoring of complex systems, and the health state of WS is of great significance to ensure the stability of complex systems. Considering the problems of diverse indicator systems, difficult to construct assessment models, uncertain model parameters, and difficult to quantify the impact of perturbation on WS health state in WS health state analysis problems, we propose a WS health state analysis model based on Evidential Reasoning Rule (ERR) under perturbation. Firstly, the index system that can accurately reflect the WS health state is constructed; secondly, from the perspective of WS mechanism analysis, the influence of perturbation on the WS health state is considered, and a method of determining the comprehensive evidence reliability considering perturbation is proposed. Finally, the health state assessment results are obtained by realising parameter fusion through the model. The effectiveness of the above model is verified through a case study of WS health analysis in a wind power plant.