期刊
IFAC PAPERSONLINE
卷 52, 期 13, 页码 607-612出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2019.11.226
关键词
Dynamic decision making; smart factory; real-time; predictive maintenance; survey
资金
- European Commission [768634]
The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated manufacturing operations. Predictive maintenance has significantly benefited from these technological advancements with the use of real-time detection and prediction algorithms regarding future failures. During the last years, there is also an increasing interest on decision making algorithms triggered by failure predictions. The current paper reviews the literature on decision making in predictive maintenance in the context of smart manufacturing. Moreover, it discusses the results, identifies the existing research gaps and outlines a research agenda on the field. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据