Big-data-driven anomaly detection in industry (4.0): An approach and a case study

BigData, pp. 1647-1652, 2016.

Cited by: 38|Bibtex|Views24
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper we present a novel approach for data-driven Quality Management in industry processes that enables a multidimensional analysis of the anomalies that can appear and their real-time detection in the running system. The approach revolutionizes the way how quality control (and esp. anomaly detection) will be realized in productio...More

Code:

Data:

Your rating :
0

 

Tags
Comments