Abstract
The definition of objective functions is vital when optimizing parameters of an array or an acoustic field. However, the present selections are often qualitative or empirical, this may lead to imprecise optimization. In this paper, an objective function selection framework is proposed based on principal component regression method (PCR). A regression equation is built among inspection results and acoustic field characteristics. The remarkable acoustic characteristics are selected as objective functions in optimization. An inspection example using a linear array is simulated, the effectiveness of the framework is proven by the simulation. This work can be applied to medical ultrasonic and non-destructive testing domains.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
