Explaining the Anomaly Detection in Additive Manufacturing via Boosting Models and Frequency Analysis

Anomaly detection is an important feature in modern additive manufacturing (AM) systems to ensure quality of the produced components. Although this topic is well discussed in the literature, current methods rely on black-box approaches, limiting our understanding of why anomalies occur, making compl...

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Bibliografske podrobnosti

Principais autores:	Mario Vozza, Joseph Polden, Giulio Mattera, Gianfranco Piscopo, Silvestro Vespoli, Luigi Nele
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-10-01
Serija:	Mathematics
Teme:	machine learning explainable AI anomaly detection additive manufacturing
Online dostop:	https://www.mdpi.com/2227-7390/12/21/3414
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