Defect Identification in Composite Structures Using Enhanced Signal Analysis
Shen Hin Lim, Tomonari Furukawa · 2011
Abstract : This project developed a new approach with theoretical and experimental framework to automatically and rapidly quantify invisible defects in a composite structure through enhanced analysis of data from ultrasonic non-destructive inspection methods. The objectives of this project were to develop rapid automated techniques to: Interrogate output from ultrasonic NDI equipment to identify the presence of defects, Identify the type of defect, in particular delamination, disbanding, foreign body inclusions and porosity and Characterize the damage with respect to its location and size. Theoretical framework consisted of stochastic defect identification under sensor uncertainties and rapid field inspection by optimally guiding and controlling sensors. The system constructed from this project has the following capabilities: Automated techniques to characterize defects; Technique that stochastically estimates the states of defects; Technique that allows active sensing; and Technique that enhances current signal analysis.