세미나

Advanced Condition-based Monitoring (𝐂𝐌𝐁+) of Carbon Fiber Reinforced Plastic Using Real-time Electromechanical Behavior Analysis

Abstract

Studies on real-time structural health monitoring (SHM) and prognostics and health management (PHM) for composite structures using self-sensing data are limited. This study proposes an advanced real-time condition-based maintenance methodology for composites under cyclic stress condition based on their electromechanical behavior. The electrical resistance of carbon fiber composite structures is measured under cyclic stress condition (tension to tension fatigue test and repeated impacts test). The electromechanical behavior is investigated, and the various damage types in the composite structures are analyzed during multiple impacts testing using designed data analysis system. PHM algorithms are proposed in this study to predict the electromechanical behavior of a composite during cyclic test using the long short term memory method and particle filter. Furthermore, remaining useful property was calculated in real-time. Based on SHM and PHM analysis, this study introduces a real-time condition-based maintenance methodology for efficient system maintenance by combining SHM and PHM, using real-time self-sensing data. The applicability of the method was verified by using it to assess the impact damage on wind turbine blade.