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Autor: Rodrigo Pastl-Pontes

Cluster Identification of Sensor Data

Cluster Identification of Sensor Data

A Predictive Maintenance Approach for Selective Laser Melting Machines
Eckart Uhlmann ORCID Icon, Sven Pavliček, Rodrigo Pastl-Pontes, Claudio Geisert
Existing selective laser melting (SLM) machine tools are not equipped with analytics tools. This paper describes an approach to analyze offline data, based on machine learning algorithms, to identify clusters. Normal states and error cases can be identified. The results can be used to develop condition monitoring systems that provide predictive maintenance for SLM machine tools.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 6-10
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