A New Method in Conceptual Design of the SHM Airframe Using Rough Sets

Abstract

A very promising solution in airframe design is a new trend in application based on intelligent online condition monitoring known as Structural Condition/Health Monitoring/Management System, which has evolved towards Integrated System Health Management to cover the whole System-of-Systems architecture. This paper focuses on how to reduce Big Data with reference to a comprehensive model for designing future airframe heath monitoring system, including the problem of assessing the diversity of various sensors used in the assessment of the technical condition/health of an airframe, which generates big data sets with different records of measurement data that must be reduced for effective using. The paper summarizes the research on the assessment of sensors in terms of their suitability and effectiveness in monitoring the airframe condition, including metal and composite, and refers to the complexity of the problem by integrating the technical condition/health of the engine unit and the airframe. Integration issue of the reliability serial connection of the airframe and engine for airworthiness assessment were mentioned. A new method based on the rough set paradigm, including hybrid variants, for the reduction of big data of health monitoring into their effective management were postulated and advantages were demonstrated. The proposed method in the form of listed issues is complementary to the currently used method and is aimed at supporting the design of the airframe at the preliminary assessment stage. That method is strongly recommended to increase security and reduce computational cost and operational cost including maintenance cost in aircraft life-cycle costs.