Dataset of single and double faults scenarios using vibration signals from a rotary machine

This dataset includes vibration sensor data from accelerometers located on the support bearings on a rotary machine designed as a fault simulator. Data collection for known faulty components include: bearing inner and outer raceway faults and bent shaft. 38 singles and double fault scenarios and a o...

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Bibliographic Details
Published inData in brief Vol. 49; p. 109358
Main Authors Marshall, Larry, Jensen, David
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.08.2023
Elsevier
Subjects
Bearings
Data
Fault
Multiple faults
Vibration
Multiple faults
Fault
Vibration
Bearings
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Summary:This dataset includes vibration sensor data from accelerometers located on the support bearings on a rotary machine designed as a fault simulator. Data collection for known faulty components include: bearing inner and outer raceway faults and bent shaft. 38 singles and double fault scenarios and a one no fault scenario were collected at three different operating frequencies (shaft rpm). Data was collected for approximately 10 seconds per scenario at a rate of 6400 hertz. Data can be used for machine learning classification.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2023.109358