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Dataset of single and double faults scenarios using vibration signals from a rotary machine
oleh: Larry Marshall, David Jensen
Format: | Article |
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Diterbitkan: | Elsevier 2023-08-01 |
Deskripsi
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.