Developing and evaluating predictive conveyor belt wear models
Conveyor belt wear is an important consideration in the bulk materials handling industry. We define four belt wear rate metrics and develop a model to predict wear rates of new conveyor configurations using an industry dataset that includes ultrasonic thickness measurements, conveyor attributes, and...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2020-01-01
|
Series: | Data-Centric Engineering |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S2632673620000015/type/journal_article |