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DynamicDataSet

Test of LFS upload and usage

Data sets

Data Set Description Format License Contact
car_loads.h5 Vibration measurement of two different cars hdf CC-BY-SA-4.0 DanielChristopher.Kreuter@bosch.com
car_unsprung_mass_acc.pkl Vibration measurement of the unsprung mass pickle CC-BY-SA-4.0 DanielChristopherKreuter@bosch.com
bearing012_accX.h5 Bearing Vibration Data hdf CC-BY-SA-4.0 christoph.bienefeld@de.bosch.com

Vibration measurement of two different cars -- features


Data set contains vehicle measurement of two different cars. All data are scaled and normalized. The measurement is split in time steps. Every row contains the data of this time step.

  • Labels: Descriptors of the acceleration of the undamped mass (e.g. min, max, std)
  • Features: vehicle speed, street roughness, ...
amax amin std kurtosis skew speed AVG_IRI ROUTE_TYPES URBAN BRIDGE car
0 0.092182316 -0.030727439 0.034474375873403615 -1.248572544956299 -0.32377647814911326 0.059264000000000004 4.8 0.0 1.0 0.0 B
1 0.092182316 -0.061454877 0.031904225782007696 -0.4145427908147341 1.0070682910778772 0.050004 4.8 0.0 1.0 0.0 B
2 -0.030727439 -0.092182316 0.014341965511269952 -0.014041240938921007 -0.9282224991843611 0.02778 4.8 0.0 1.0 0.0 B
3 0.061454877 -0.092182316 0.021873665339597604 1.7844630674693747 1.5318499207812712 0.02778 4.8 0.0 1.0 0.0 B
4 0.04096992 -0.061454877 0.026342002176476125 -0.9213735255263735 0.9485480204179958 0.05556 4.8 0.0 1.0 0.0 B
5 0.030727439 -0.061454877 0.01923562380743987 3.976726806984951 1.971356610418038 0.016668 4.8 0.0 1.0 0.0 B
6 0.21509208 -0.21509208 0.04804132996888621 1.7082873112498378 0.07830243066921876 0.016668 4.8 0.0 1.0 0.0 B

Vibration measurement of the unsprung mass


Data set contains a acceleration measurement of a car. Sensors are placed on the unsprung mass. The dictionary contains data frames with the

  • Acceleration signals ($f_s=4096$ Hz) in x,y,z direction
  • Velocity of the car
  • gps data
  • street information

track


Bearing Vibration Data


This data set contains acceleration measurements from 4 ball bearing endurance test runs.

  • The data set comprises measurements of 4 similar bearings (#012, #019, #021, #024).
  • All test runs are performed at a test bench with equal and constant operating conditions.
  • The acceleration signals ($f_s=20000$ Hz) are acquired with a triaxial accelerometer (accX, accY, accZ).
  • Each row of the pandas DataFrames contains $1$ s of measurement.
  • The temporal distance between the individual rows of measurement is constant, but rescaled, so that the longest experiment comprises $100$ imaginary time units.
  • The amplitudes of the measurements are standardized (mean $= 0$; std $= 1$) for each measurement channel (accX, accY, accZ) individually.

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