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Pattern Recognition in Multivariate Time Series: Towards an Automated Event Detection Method for Smart Manufacturing Systems
This paper presents a framework to utilize multivariate time series data to automatically identify reoccurring events, e.g., resembling failure patterns in real-world manufacturing data by combining selected data mining techniques. The use case revolves around the auxiliary polymer manufacturing pro...
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| Vydáno v: | Journal of Manufacturing and Materials Processing |
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| Hlavní autoři: | , , , |
| Médium: | Článek |
| Vydáno: |
MDPI AG
2020-09-01
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| Témata: | |
| On-line přístup: | https://www.mdpi.com/2504-4494/4/3/88 |
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