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Article

Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts

1
Faculty of Geoengineering Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland
2
Faculty of Electronics, Wroclaw University of Science and Technology, Janiszewskiego 11/17, 50-372 Wroclaw, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Daniela Marasová, Monika Hardygora and Mirosław Bajda
Energies 2021, 14(11), 3081; https://doi.org/10.3390/en14113081
Received: 6 May 2021 / Revised: 21 May 2021 / Accepted: 24 May 2021 / Published: 26 May 2021
(This article belongs to the Special Issue Energy-Efficiency of Conveyor Belts in Raw Materials Industry)
This paper presents the identification and classification of steel cord failures in the conveyor belt core based on an analysis of a two-dimensional image of magnetic field changes recorded using the Diagbelt system around scanned failures in the test belt. The obtained set of identified changes in images, obtained for numerous parameters settings of the device, were the base for statistical analysis. This analysis makes it possible to determine the Pearson’s linear correlation coefficient between the parameters being changed and the image of the failures. In the second stage of the research, artificial intelligence methods were applied to construct a multilayer neural network (MLP) and to teach it appropriate identification of damage. In both methods, the same data sets were used, which made it possible to compare methods. View Full-Text
Keywords: conveyor belts; magnetic method; diagnostics; NDT method; belt damage; statistical analysis; neural networks conveyor belts; magnetic method; diagnostics; NDT method; belt damage; statistical analysis; neural networks
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MDPI and ACS Style

Olchówka, D.; Rzeszowska, A.; Jurdziak, L.; Błażej, R. Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts. Energies 2021, 14, 3081. https://doi.org/10.3390/en14113081

AMA Style

Olchówka D, Rzeszowska A, Jurdziak L, Błażej R. Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts. Energies. 2021; 14(11):3081. https://doi.org/10.3390/en14113081

Chicago/Turabian Style

Olchówka, Dominika, Aleksandra Rzeszowska, Leszek Jurdziak, and Ryszard Błażej. 2021. "Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts" Energies 14, no. 11: 3081. https://doi.org/10.3390/en14113081

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