Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems

Kaja Balzereit, Alexander Maier, Björn Barig, Tino Hutschenreuther, Oliver Niggemann

2019

Abstract

Cyber-Physical Systems (CPS) are systems that connect physical components with software components. CPS used for production are called Cyber-Physical Production Systems (CPPS). Since the complexity of these systems can be very high, finding the cause of an error takes a lot of effort. In this paper, a data-driven approach to identify causal dependencies in cyber-physical production systems (CPPS) is presented. The approach is based on two different layers of learning algorithms: one low-level layer that processes the direct machine data and a higher-level learning layer that processes the output of the low-level layer. The low-level layer is based on different learning modules that can process differently typed data (continuous, discrete or both). The high-level learning algorithms are based on rule-based and case-based reasoning. Thus, causal dependencies are detected allowing the plant operator to find the error cause quickly.

Paper Citation

in Harvard Style

Balzereit K., Maier A., Barig B., Hutschenreuther T. and Niggemann O. (2019). Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems.In Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-350-6, pages 592-601. DOI: 10.5220/0007362005920601

in Bibtex Style

@conference{icaart19,
author={Kaja Balzereit and Alexander Maier and Björn Barig and Tino Hutschenreuther and Oliver Niggemann},
title={Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems},
booktitle={Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2019},
pages={592-601},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007362005920601},
isbn={978-989-758-350-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems
SN - 978-989-758-350-6
AU - Balzereit K.
AU - Maier A.
AU - Barig B.
AU - Hutschenreuther T.
AU - Niggemann O.
PY - 2019
SP - 592
EP - 601
DO - 10.5220/0007362005920601