Utilization of measurements, machine learning, and analytical calculation for preventing belt flip over on conveyor belts
Authors:
- Przemysław Rumin,
- Janusz Kotowicz,
- Daniel Hogg,
- Anna Zastawna-Rumin
Abstract
The use of information technology in modern industry is becoming increasingly important to ensure the failurefree operation of devices. Innovatively, this article describes methods to predict belt flip over. The article describes the tested installation and the acquisition and processing of a unique data set gathered from hilly and very long belt conveyors. Values are predicted using novel analytical algorithms with a combination of machine learning algorithms. A simulation study is presented to demonstrate the effectiveness of the proposed method. The simulation results and case studies show that the proposed method generates accurate results and can be used to predict belt flip over for large-scale belt conveyors.
- Record ID
- CUT6c97aa3dc6114104aa9a27925b67e508
- Publication categories
- ;
- Author
- Journal series
- Measurement, ISSN 0263-2241, e-ISSN 1873-412X
- Issue year
- 2023
- Vol
- 218
- Pages
- [1-13]
- Article number
- 113157
- Other elements of collation
- fot.; schem.; tab.; wykr.; Bibliografia (na s.) - 12-13; Bibliografia (liczba pozycji) - 42; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 218
- Keywords in English
- anomaly detection, belt conveyor, machine learning, predictive maintenance
- ASJC Classification
- ; ; ;
- DOI
- DOI:10.1016/j.measurement.2023.113157 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/pii/S0263224123007212 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 200
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT6c97aa3dc6114104aa9a27925b67e508/
- URN
urn:pkr-prod:CUT6c97aa3dc6114104aa9a27925b67e508
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.