The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 16, 2025

Filed:

May. 05, 2021
Applicant:

Siemens Energy Global Gmbh & Co. KG, Bayern, DE;

Inventors:

Hamid Jahangir, Aachen, DE;

Vivian Schiller, Stuttgart, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); B22F 10/36 (2021.01); B22F 12/90 (2021.01); B33Y 50/02 (2015.01); G06T 7/168 (2017.01);
U.S. Cl.
CPC ...
G06T 7/001 (2013.01); B22F 10/36 (2021.01); B22F 12/90 (2021.01); B33Y 50/02 (2014.12); G06T 7/168 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30164 (2013.01); G06T 2207/30204 (2013.01);
Abstract

A computer-implemented anomaly detection method in powder-bed-based additive manufacture of a workpiece includes (i) providing an image data set and applying a Principal Component Analysis to said image data to compute a number of image clusters, (ii) applying a clustering algorithm to the analyzed image data and computing respective cluster centroids, (iii) comparing the computed cluster centroids with a set of reference anomaly centroids, wherein based on a match of cluster centroids with the reference, the image data is segmented layerwise into cluster images of a specific anomaly, (iv) transforming the segmented images into a defined color space, such as a Lab color space or greyscale spectrum, and, (v) integrating a pixel information of the transformed segmented cluster images to compute a threshold value for the image data set in order to determine a respective anomaly.


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