Stepper Motor Dataset

dc.contributor.author Goubeaud, Maxime
dc.contributor.author Grunert, Tim
dc.contributor.author Lützenkirchen, Jan
dc.contributor.author Joussen, Philipp
dc.contributor.author Kummert, Anton
dc.date.accessioned 2022-05-04T18:34:48Z
dc.date.available 2022-05-04T18:34:48Z
dc.date.issued 2020-07-07
dc.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
dc.description.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.
dc.identifier https://doi.org/10.25926/aedk-vx89
dc.identifier.uri https://publicdata.fdm.uni-wuppertal.de/handle/1/33
dc.language.iso N/A
dc.publisher University of Wuppertal
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Time series
dc.subject Classification
dc.subject Machine learning
dc.subject Data science
dc.subject.ddc DDC::600 Technology (Applied sciences)::620 Engineering & allied operation::621.3 Electric engineering
dc.subject.ddc DDC::000 Generalities, science::004 Data processing, computer science
dc.title Stepper Motor Dataset
dc.type Dataset
dspace.entity.type
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