ENBIS: European Network for Business and Industrial Statistics
Forgotten your password?
Not yet a member? Please register
ENBIS-18 in Nancy
2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018Spatio-Temporal PCA for Image Monitoring in Additive Manufacturing
5 September 2018, 09:30 – 10:00Abstract
- Submitted by
- Bianca Maria Colosimo
- Authors
- Bianca Maria Colosimo (Politecnico di Milano), Marco Grasso (Politecnico di Milano)
- Abstract
- The contribution presents an approach to combine spatial and temporal information with Principal Component Analysis (PCA) and clustering to quickly detect out-of-control states from video images in metal 3D printing, also known as Additive Manufacturing. The main idea is to analyse video images using a PCA where a weighted variance-covariance matrix is considered in order to include information on spatial correlation of pixels in the image. An alarm rule based on clustering is further considered to detect hot-spots, i.e., location where the cooling transient is out of control with respect to the usual pattern. Comparison with other existing methods and application to a real case study are shown.