Stepper Motor Dataset

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Date
2020-07-07
Authors
Goubeaud, Maxime
Grunert, Tim
Lützenkirchen, Jan
Joussen, Philipp
Kummert, Anton
Journal Title
Journal ISSN
Volume Title
Publisher
University of Wuppertal
Abstract
This is the first publicly available dataset for mechanical stop detection of unipolar stepper motors. With the help of various current-, voltage- and vibration-signals, it is possible to gain information about the prevailing operating mode of the stepper motor and to detect when the stepper motor is operated outside its specified operating range. By detecting the mechanical stop, unnecessary wear and additional noise pollution can be avoided.
Description
Quality Control Report All files are readable with the following software: file typ: csv – readable with Microsoft excel, version: 1908, 03.07.2020 file typ: pdf – readable with adobe acrobat reader, version: 2017.011.30166, 03.07.2020 File typ: xlsx - readable with Microsoft excel, version: 1908, 03.07.2020
Keywords
Time series, Classification, Machine learning, Data science
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