Cluster Identification of Sensor Data | 
|
A Predictive Maintenance Approach for Selective Laser Melting Machines
| Journal | Industrie 4.0 Management |
| Issue | Volume 35, 2019, Edition 1, Pages 6-10 |
| Share | Cite | Download |
Abstract
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.
Keywords
Clustering, machine learning, predictive maintenance, predictive maintenance, Selective Laser Melting, Selective Laser Melting, sensor data
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