Using Multivariate Quality Statistic for Maintenance Decision Support in a Bearing Ring Grinder

Using Multivariate Quality Statistic for Maintenance Decision Support in a Bearing Ring Grinder

Grinding processes’ stochastic nature poses a challenge in predicting the quality of the resulting surfaces. Post-production measurements for form, surface roughness, and circumferential waviness are commonly performed due to infeasibility in measuring all quality parameters during the grinding oper...

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Bibliographic Details
Main Authors: Muhammad Ahmer, Fredrik Sandin, Pär Marklund, Martin Gustafsson, Kim Berglund
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Machines
Subjects:
grinding
multivariate statistics
maintenance decision
condition-based maintenance
condition monitoring
health management
Online Access:https://www.mdpi.com/2075-1702/10/9/794

Internet

https://www.mdpi.com/2075-1702/10/9/794

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