Stepper Motor Dataset
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 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- StepperMotorDataset.zip
- Size:
- 602.93 MB
- Format:
- Unknown data format
- Description:
- File format: Zip archive data, at least v2.0 to extract
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 8.51 KB
- Format:
- Item-specific license agreed to upon submission
- Description: