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).
Links
Where it is published
- DOI doi.org/10.17632/msxs4vj48g.2 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Mechanical engineering 72%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/msxs4vj48g.2 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:4017 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |