On the role of Data Quality in AI-based Prognostics and Health Management

This paper aims at describing the key role of Data Quality along the entire development of a Prognostics and Health Management process based on Industrial Artificial Intelligence solutions and ready for industrial application. This is discussed through an industrial case in the textile sector where...

Full description

Saved in:
Bibliographic Details
Published in:IFAC-PapersOnLine 2022-01, Vol.55 (19), p.61-66
Main Authors: Cattaneo, L., Polenghi, A., Macchi, M., Pesenti, V.
Format: Article
Language:English
Subjects:
Data Quality
Industrial Artificial Intelligence
Industrial Data Analytics
PHM
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper aims at describing the key role of Data Quality along the entire development of a Prognostics and Health Management process based on Industrial Artificial Intelligence solutions and ready for industrial application. This is discussed through an industrial case in the textile sector where the importance of Data Quality emerges in different aspects. The industrial case leads to lessons learned useful for further research on a framework for Data Quality in AI-based maintenance systems.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2022.09.184