Digital Library of Zielona Góra contains 62 764 digital objects
Object
Title: An effective data reduction model for machine emergency state detection from big data tree topology structures
Contributor:
Kusy, Maciej - ed. ; Scherer, Rafał - ed. ; Krzyżak, Adam - ed.
Subtitle:
Group publication title:
Abstract:
This work presents an original model for detecting machine tool anomalies and emergency states through operation data processing. The paper is focused on an elastic hierarchical system for effective data reduction and classification, which encompasses several modules. Firstly, principal component analysis (PCA) is used to perform data reduction of many input signals from big data tree topology structures into two signals representing all of them. Then the technique for segmentation of operating machine data based on dynamic time distortion and hierarchical clustering is used to calculate signal accident characteristics using classifiers such as the maximum level change, a signal trend, the variance of residuals, and others. ; Data segmentation and analysis techniques enable effective and robust detection of operating machine tool anomalies and emergency states due to almost real-time data collection from strategically placed sensors and results collected from previous production cycles. The emergency state detection model described in this paper could be beneficial for improving the production process, increasing production efficiency by detecting and minimizing machine tool error conditions, as well as improving product quality and overall equipment productivity. The proposed model was tested on H-630 and H-50 machine tools in a real production environment of the Tajmac-ZPS company.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, volume 31, number 4 (2021) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2021)
Last modified:
Jul 21, 2025
In our library since:
Jul 21, 2025
Number of object content hits:
10
All available object's versions:
https://zbc.uz.zgora.pl/publication/101393
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 31, number 1 (2021)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 31, number 2 (2021)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 31, number 3 (2021)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 31, number 4 (2021)
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| Edition name | Date |
|---|---|
| An effective data reduction model for machine emergency state detection from big data tree topology structures | Jul 21, 2025 |
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