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Model-Based Diagnosis of Feed Axes with Contactless Current Sensing

Hansjosten, Malte 1; Bott, Alexander 1; Puchta, Alexander 1; Gönnheimer, Philipp 1; Fleischer, Juergen 1; Liewald, Mathias [Hrsg.]; Bauernhansl, Thomas [Hrsg.]; Möhring, Hans-Christian [Hrsg.]; Verl, Alexander [Hrsg.]
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

State of the art drive controllers, based on numerical and programmable logic controllers (NC and PLC), have not yet established standardized and easily accessible endpoints to capture status and process variables, such as motor current, torque or position values. Direct access to those data sources is limited to proprietary tools or licenses and requires modern control hardware. Besides, available data sources are limited to sample periods down to the NC or PLC cycle time, that varies between 1 and 10 ms. In this paper, we introduce a low-cost, low-tech and low-effort solution for monitoring feed axes based on contactless current sensing. We deploy split-core current transformers onto motor power cables of a variable frequency drive achieving sample rates of 50 kHz. This provides a retrofit solution for feed axes monitoring. Also, we outline the required signal processing to show the solution’s potential for further applications like anomaly detection. As a result, we enable a low-cost monitoring solution for machine tools using a physic-based model.


Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 02.02.2023
Sprache Englisch
Identifikator ISBN: 978-3-031-18317-1
ISSN: 21940525
KITopen-ID: 1000166115
Erschienen in Production at the Leading Edge of Technology: Proceedings of the 12th Concress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Hrsg.: Mathias Liewald, Thomas Bauernhansl, Hans-Christian Möhring, Alexander Verl
Veranstaltung 12th Congress of the German Academic Association for Production Technology (WGP) (2022), Stuttgart, Deutschland, 11.10.2022 – 14.10.2022
Verlag Springer
Seiten 314-323
Serie Lecture Notes in Production Engineering (LNPE)
Schlagwörter Machine tool, Feed axis, Contactless sensing
Nachgewiesen in Scopus
Dimensions
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