Measurements for Smart Manufacturing in an Industry 4.0 scenario

被引:0
|
作者
D'Emilia, Giulio [1 ]
Gaspari, Antonella [1 ]
Natale, Emanuela [1 ]
机构
[1] Univ Aquila, Dept Ind & Informat Engn & Econ, Via G Gronchi 18, I-67100 Laquila, Italy
关键词
big data; condition monitoring; data processing; data validation; measurement uncertainty; CYBER-PHYSICAL SYSTEMS; BIG DATA; ANALYTICS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A procedure for the analysis of the variability causes, affecting the advanced control flow for a mechatronic system used as a part of CPS, in an Industry 4.0 context, is described. Experimental results are used as a test-case to define, apply and validate some actions implemented in order to take control of the informative flow. Some of them focus on the fulfillment of particular formal aspects, which are considered as prerequisites for the application of the data-processing procedure. Some others are considered substantial i.e. linked to the physical interpretation of the monitored phenomena. The results show that an effective reduction of variability of outputs of the algorithms in an Industry 4.0 context can be obtained.
引用
收藏
页码:107 / 111
页数:5
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