Title :
Study on genetic algorithm used in damage identification
Author :
Du, Chong ; Yuan, Mei ; You, Qiang
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut.&Astronaut., Beijing, China
Abstract :
Damage identification is a hot topic in the field of structural health monitoring in recent years. Structure damage can lead to the changes of inherent frequency and vibration mode, which are independent of external load. Damage can be detected if information of the changed inherent frequency and vibration mode is obtained. Taking inherent frequency and main vibration mode as diagnostic information, the identification and location of damage in a simplified model of a wing based on Genetic Algorithm is studied in this paper. The results show that the algorithm can identify and locate the damage with high precision.
Keywords :
aerospace components; condition monitoring; flaw detection; genetic algorithms; structural engineering; vibrations; damage identification; damage location; genetic algorithm; structural damage; structural health monitoring; vibration mode; wing model; Automation; Electric variables measurement; Extraterrestrial measurements; Finite element methods; Frequency; Genetic algorithms; Instruments; Machine learning algorithms; Structural engineering; Vibration measurement; Genetic Algorithm; damage identification; inherent frequency; main vibration mode;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274845
