Abstract
AbstractIn this paper, we promote intelligent plasma facing component video monitoring for both real‐time purposes (machine protection issues) and post event analysis purposes (plasma‐wall interaction understanding). We propose a vision‐based system able to automatically detect and classify into different pre‐defined categories thermal phenomena such as localized hot spots or transient thermal events (e.g. electrical arcing) from infrared imaging data of PFCs. This original computer vision system is made intelligent by endowing it with high‐level reasoning (i.e. integration of a priori knowledge of thermal event spatiotemporal properties to guide the recognition), self‐adaptability to varying conditions (e.g. different thermal scenes and plasma scenarios), and learning capabilities (e.g. statistical modelling of event behaviour based on training samples) (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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.
