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Authors: Chris Schöberlein ; Johannes Quellmalz ; Holger Schlegel and Martin Dix

Affiliation: Institute for Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Str. 70, 09126 Chemnitz, Germany

Keyword(s): Electromechanical Axis, Condition Monitoring, Prony Analysis, Data Acquisition.

Abstract: Condition monitoring of modern production systems has established itself as an independent area of research in recent years. Main goal is to achieve an increase in machine productivity by reducing downtime and maintenance costs. In particular, the installed electromechanical axes offer great potential for improvement. Besides an installation of additional sensors, modern drive systems also provide various signals suitable for superordinated monitoring systems. The paper presents a novel approach for monitoring of specific mechanical axis components based solely on internal control loop signals. Fundamental idea is to combine a parametric approach for vibration analysis, the so-called Prony analysis, with a drive-based setpoint generation and data aquisition. The method is verified by detecting emulated malfunctions on a single-axis test stand and a three-axis vertical milling machining center. Experimental investigations prove that the presented approach is capable of reliably detect ing the artificially introduced defects on different axis components. (More)

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Paper citation in several formats:
Schöberlein, C.; Quellmalz, J.; Schlegel, H. and Dix, M. (2022). Sensorless Condition Monitoring of Feed Axis Components in Production Systems by Applying Prony Analysis. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-585-2; ISSN 2184-2809, SciTePress, pages 214-221. DOI: 10.5220/0011287200003271

@conference{icinco22,
author={Chris Schöberlein. and Johannes Quellmalz. and Holger Schlegel. and Martin Dix.},
title={Sensorless Condition Monitoring of Feed Axis Components in Production Systems by Applying Prony Analysis},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2022},
pages={214-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011287200003271},
isbn={978-989-758-585-2},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - Sensorless Condition Monitoring of Feed Axis Components in Production Systems by Applying Prony Analysis
SN - 978-989-758-585-2
IS - 2184-2809
AU - Schöberlein, C.
AU - Quellmalz, J.
AU - Schlegel, H.
AU - Dix, M.
PY - 2022
SP - 214
EP - 221
DO - 10.5220/0011287200003271
PB - SciTePress

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