DeepSData
Dataset guide · Machine learning & corpora

Assessment of gear degradation with multi sensor platform

This dataset contains data from a multi-sensor platform (surface topography, vision systems, oil quality, vibration monitoring, etc.) on an FZG gear test rig during 200-hour endurance tests, monitoring gear pitting degradation.

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Machine learning & corporaAccess: check the source page

Key facts

InstitutionSee official page
CoverageGear pitting degradation monitoring data
Time span2023-10-26 (update date)
Scale1 file

Contents & fields

No field-level description is disclosed on the source page.

Research uses

Can be used for research in gear degradation monitoring, multi-sensor fusion, predictive maintenance, etc.

Information comes from the source page. Please check that page for current details and terms.

Keywords

gear degradationmulti-sensorpitting monitoringvibration monitoringvision systemFZG test rig

Access and licence

Licence: License statement is still being checked · Source page
Rights details not yet verified
| Access: check the source page

Why this is hard to get on your own

Gear degradation monitoring data is often difficult to obtain, and multi-sensor synchronized data is scarce.

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Same domain

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