Title :
Research of structural health monitoring based on mode analysis for UAV wings
Author :
Guo, Yingnan ; Wan, Fangyi ; Wu, Ling ; Jiang, Hanjie
Author_Institution :
Coll. of Aeronaut., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
Unmanned Aerial Vehicle (UAV) structures are prone to damage during their service lives, caused by abominable environment factors. Its structural health monitoring can be effective in reducing maintenance costs and increasing service life to ensure safe and reliable operation. Two different damaged modal parameters based on modal analysis is discussed in this paper in order to develop an efficient damage identification technique for the UAV wing structures. Its structure modal is a natural attribute of structures, and apparently one of the most important parameters of structure dynamic characteristics. For a well designed aircraft wings structures, its modal pattern should be continuous without local mode. Therefore, based on the modal analysis utilizing numerical methods for a damaged structure, damages location and its extent can be revealed and damage level can be evaluated. All the numerical results illustrated these method are efficient and feasible for structural damage detection. And its can be utilized in structure health monitoring and the sensors placement optimization.
Keywords :
aerospace components; aerospace robotics; aerospace safety; aircraft maintenance; condition monitoring; environmental factors; modal analysis; optimisation; remotely operated vehicles; sensor placement; UAV wing structure; abominable environment factor; aircraft wing structure; damage identification technique; damage location; maintenance cost; modal analysis; modal parameter; numerical method; sensor placement optimization; service life; structural damage detection; structural health monitoring; structure dynamic characteristics; unmanned aerial vehicle structure; Monitoring; Optimization; Shape; Damage detection; Dynamic characteristics; Finite element method; Structure modal analysis;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-Shenzhen), 2011
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-7951-1
Electronic_ISBN :
978-1-4244-7949-8
DOI :
10.1109/PHM.2011.5939521