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Data · dataset · 2026

University of Ottawa Electric Motor Dataset – Vibration and Acoustic Faults under Constant and Variable Speed Conditions (UOEMD-VAFCVS)

Listed in Teesside University Research Data Repository

The dataset consists of constant and variable speed data collected from 8 different D396 Marathon Electric 3-phase motors.

Description

Each motor has different types of faults artificially created by SpectraQuest. Data is collected using three accelerometers and a microphone (the first, third and fourth columns are accelerometer data, the second column is acoustic data, and the fifth column is temperature data).

The labelling of data is as follows {Letter}-{Letter}-{Number}-{Number}: The following values represent the possibilities for the first letter: - H indicates healthy - R indicates rotor - S indicates stator - V indicates voltage - B indicates bowed - K indicates broken - F indicates faulty The second letter is represented by the following possible values: - H indicates healthy - U indicates unbalance - M indicates misalignment - W indicates winding - R indicates rotor - A indicates rotor bars - B indicates bearing The combination of both letters indicates the health state of the motor present in the data sample (e.g. H-H = a healthy motor, S-W = a stator winding fault).

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The first number represents: - 1 is for a constant speed of 15 Hz - 2 is for a constant speed of 30 Hz - 3 is for a constant speed of 45 Hz - 4 is for a constant speed of 60 Hz - 5 is for an increasing speed from 15 Hz to 45 Hz - 6 is for an increasing speed from 30 Hz to 60 Hz - 7 is for a decreasing speed from 45 Hz to 15 Hz - 8 is for a decreasing speed from 60 Hz to 30 Hz The second number represents: - 0 for a no load condition - 1 for a loaded condition The duration of data collection was 10 seconds at a sampling frequency of 42 kHz.

Each file contains 420,000 samples. Raw data is provided in the folders as comma separated values files (.csv) and MATLAB files (.mat).

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Inferred from text
Mechanical engineering 72%
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