Machine Data Analysis to Identify Deficits | 
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Verwendung des Gradient-Boosting-Verfahrens zur Datenanalyse am Beispiel der additiven Fertigung
| Journal | Industrie 4.0 Management |
| Issue | Volume 37, 2021, Edition 2, Pages 21-24 |
| Share | Cite | Download |
Abstract
The analysis of machine data offers a lot of potential for manufacturing companies. It enables the identification and prognosis of deficits in industrial production processes. Using the example of additive manufacturing, a practice-oriented procedure to implement such an analysis is presented in this article. Using a gradient boosting algorithm, it is shown how a leakage error can be identified as well as predicted. Furthermore, requirements for the necessary database are discussed and practical recommendations for manufacturing companies are derived.
Keywords
Additive Fertigung, Additive Manufacturing, Business Analytics, data analysis, Extreme-Gradient-Boosting
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