文章基本信息

标题：On the role of Data Quality in AI-based Prognostics and Health Management
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作者：L. Cattaneo ; A. Polenghi ; M. Macchi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：19
页码：61-66
DOI：10.1016/j.ifacol.2022.09.184
语种：English
出版社：Elsevier
摘要：AbstractThis 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.
关键词：KeywordsIndustrial Data AnalyticsIndustrial Artificial IntelligenceData QualityPHM