GearXAI DDS-SEU: Planetary Gearbox Vibration Data for Fault Diagnosis

GearXAI DDS-SEU PGB Release provides processed vibration data from a drivetrain setup for a 9-class gearbox fault diagnosis challenge. The dataset is packaged for direct use with Hugging Face Datasets and an evaluator for the IJCAI-ECAI 2026 competition. It was authored by edi45 and last updated on May 15, 2026.

Use Cases

• Train classifiers for gearbox fault diagnosis based on vibration data.
• Benchmark explainable AI methods for mechanical systems based on the competition task.
• Develop models for predictive maintenance of planetary gearboxes based on the described data.

Strengths

• Data is processed and packaged for direct use with Hugging Face Datasets.
• Dataset is associated with an IJCAI-ECAI 2026 competition, suggesting a defined benchmark task.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

DDS-SEU drivetrain setup.

Collection Method

Processed vibration data.

Freshness

Last updated 2026-05-15 09:47:26.