Date: Thu, 28 Mar 2024 13:43:00 +0000 (UTC)
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Developing and evaluating predictive conveyor belt wear models=
title>
Developing and evaluating predictive conveyor belt wear models
Journal Article
Authors=
: Callum Webb, Joanna Sikorska, Ramzan Nazim Khan, Melinda Hodkiew=
icz
Publication
=
Data-Centric Engineering
1
Quality Indicators
Relevance to the Centre
C=
onveyor belts are critical components in global supply chains in mining, po=
wer, and manufacturing industries. The belt is often the most expensive com=
ponent of a conveyor system and downtime is costly. Predicting belt wear ra=
te from conveyor design and operational parameters is useful because it all=
ows operators to accurately forecast belt replacements on new conveyors, es=
timate wear rate on conveyors without adequate thickness data, and improve =
their understanding of how different variables influence or relate to belt =
wear. Our work demonstrates how such predictive models can be developed and=
evaluated.
=
DOI: 10.1017/dce.2020.1
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