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ZUTH, D. BLECHA, P. MARADA, T. HUZLÍK, R. TŮMA, J. MARADOVÁ, K. FRKAL, V.
Originální název
Vibrodiagnostics Faults Classification for the Safety Enhancement of Industrial Machinery
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The current digitization of industrial processes is leading to the development of smart machines and smart applications in the field of engineering technologies. The basis is an advanced sensor system that monitors selected characteristic values of the machine. The obtained data need to be further analysed, correctly interpreted, and visualized by the machine operator. Thus the machine operator can gain a sixth sense for keeping the machine and the production process in a suitable condition. This has a positive effect on reducing the stress load on the operator in the production of expensive components and in monitoring the safe condition of the machine. The key element here is the use of a suitable classification model for data evaluation of the monitored machine parameters. The article deals with the comparison of the success rate of classification models from the MATLAB Classification Learner App. Classification models will compare data from the frequency and time domain, the data source is the same. Both data samples are from real measurements on the CNC vertical machining center (CNC-Computer Numerical Control). Three basic states representing machine tool damage are recognized. The data are then processed and reduced for the use of the MATLAB Classification Learner app, which creates a model for recognizing faults. The article aims to compare the success rate of classification models when the data source is a dataset in time or frequency domain and combination.
Klíčová slova
vibrodiagnostics; classification learner app; machine learning; MATLAB; Python; classification model; unbalance
Autoři
ZUTH, D.; BLECHA, P.; MARADA, T.; HUZLÍK, R.; TŮMA, J.; MARADOVÁ, K.; FRKAL, V.
Vydáno
30. 9. 2021
Nakladatel
MDPI
Místo
BASEL, Switzerland
ISSN
2075-1702
Periodikum
Machines
Ročník
9
Číslo
10
Stát
Švýcarská konfederace
Strany od
1
Strany do
19
Strany počet
URL
https://www.mdpi.com/2075-1702/9/10/222
Plný text v Digitální knihovně
http://hdl.handle.net/11012/203230
BibTex
@article{BUT175274, author="Daniel {Zuth} and Petr {Blecha} and Tomáš {Marada} and Rostislav {Huzlík} and Jiří {Tůma} and Karla {Maradová} and Vojtěch {Frkal}", title="Vibrodiagnostics Faults Classification for the Safety Enhancement of Industrial Machinery", journal="Machines", year="2021", volume="9", number="10", pages="1--19", doi="10.3390/machines9100222", issn="2075-1702", url="https://www.mdpi.com/2075-1702/9/10/222" }