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Modeling and monitoring methods for spatial and image data

Summary: Intelligent sensing and computerized data analysis are inducing a paradigm shift in industrial statistics applied to discrete part manufacturing. Emerging technologies (e.g., additive manufacturing, micro-manufacturing) combined with new inspection solutions (e.g., non-contact systems, X-ray computer tomography) and fast multi-stream high-speed sensors (e.g., videos and images; acoustic, thermic, power and pressure signals) are paving the way for a new generation of industrial big-data requiring novel modeling and monitoring approaches for zero-defect manufacturing. Starting from real industrial problems, some of the main challenges to be faced in relevant industrial sectors are discussed. Viable solutions and future open issues are specifically outlined.

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  • Topics: Statistics
  • Keywords: Additive manufacturing, Functional data, Images, Profile monitoring, Quality monitoring, Shapes, Signal, Statistical process control, Surfaces
  • Author: Colosimo, Bianca Maria
  • Journal: Quality Engineering