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Data quality issues for vibration sensors: a case study in ferrosilicon production

Abstract

Digitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to provide insights into the performance of production infrastructures. In the metal processing industry vibration sensors are essential in the monitoring of the production infrastructure. In this position paper we present the installation of vibration sensors in a real industrial environment and discuss the data quality issues we encountered while using such sensors.

Category

Academic chapter/article/Conference paper

Client

  • Research Council of Norway (RCN) / 309691
  • EC/H2020 / 101016835

Language

English

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • SINTEF Community / Mobility and Economics
  • SINTEF Digital / Mathematics and Cybernetics
  • SINTEF Digital / Smart Sensors and Microsystems
  • SINTEF Industry / Metal Production and Processing
  • Elkem AS

Year

2022

Publisher

Association for Computing Machinery (ACM)

Book

Proceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022)

ISBN

978-1-4503-9459-8

Page(s)

22 - 23

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