Big-data-driven anomaly detection in industry (4.0): An approach and a case study
BigData, pp. 1647-1652, 2016.
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
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