Machine Learning Methods as a Tool for Analysis and Prediction of Impact Resistance of Rubber–Textile Conveyor Belts
Rubber–textile conveyor belts are an important element of large-scale transport systems, which in many cases are subjected to excessive dynamic loads. Assessing the impact resistance of them is essential for ensuring their reliability and longevity. The article focuses on the use of machine learning...
Saved in:
| Main Authors: | Miriam Andrejiova, Anna Grincova, Daniela Marasova, Zuzana Kimakova |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/15/8511 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comprehensive Evaluation of Conveyor Belt Impact Resistance Using Canonical Correlation Analysis
by: Miriam Andrejiova, et al.
Published: (2025-02-01) -
ANALYSIS OF DYNAMICS PARAMETERS FOR THE STEEL CORD RUBBER CONVEYOR BELT
by: CHEN HongYue, et al.
Published: (2017-01-01) -
DYNAMIC CHARACTERISTICS SIMULATION ANALYSIS AND MICROSCOPIC MODEL OF RUBBER CONVEYOR BELT OF STEEL CORE
by: CHEN HongYue, et al.
Published: (2019-01-01) -
EXPERIMENTAL ANALYSIS AND NUMERICAL SIMULATION ON SAG RESISTANCE OF RUBBER CONVEYOR BELT
by: CHEN HongYue, et al.
Published: (2016-01-01) -
Longitudinal Vibration and Stability Analysis of Conveying Belt of Belt Conveyor
by: Man Zhang, et al.
Published: (2020-08-01)