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Towards Intelligent Video Understanding Applied to Plasma Facing Component Monitoring
Author(s) -
Martin V.,
Travere J.M.,
Moncada V.,
Brémond F.
Publication year - 2011
Publication title -
contributions to plasma physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.531
H-Index - 47
eISSN - 1521-3986
pISSN - 0863-1042
DOI - 10.1002/ctpp.201000054
Subject(s) - component (thermodynamics) , adaptability , event (particle physics) , computer science , plasma , thermal , a priori and a posteriori , artificial intelligence , physics , ecology , philosophy , epistemology , quantum mechanics , meteorology , biology , thermodynamics
In 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)