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A NMF-based extraction of physically meaningful components from sensory data of metal casting processes

Weiderer, Peter ; Tomé, Ana Maria ; Lang, Elmar W.



Abstract

The paper introduces a novel approach for the extraction of physically meaningful thermal component time series during the manufacturing of casting parts. We treat their extraction as Blind Source Separation (BSS) problem by exploiting process-related prior knowledge. Our proposed method arranges temperature time series into a data matrix, which is then decomposed by Non-negative Matrix ...

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