Spur Gearbox Vibration Signals for Failure Detection Under Varying Load and Speed

An experimental dataset covering combinations of load, speed, and failure severity for spur gearboxes. The data, shared by Antonio Pérez-Torres on figshare, is characterized using condition indicators from vibration signals in time and frequency domains. It was last updated on 2026-05-18 and is licensed under CC-BY-4.0.

Use Cases

• Comparing Principal Component Analysis (PCA) and Dynamic PCA (DPCA) methodologies based on the study's focus.
• Training models for early gearbox failure detection based on vibration signal condition indicators mentioned in the description.
• Validating multivariate statistical process control frameworks using Hotelling’s T² and squared prediction error statistics described.
• Analyzing the impact of load, speed, and failure severity on gearbox degradation based on the experimental setup.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and initial exploration.
• License is clearly defined as CC-BY-4.0, allowing for open reuse with attribution.
• The experimental design covers multiple operational variables: load, speed, and failure severity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scale is very limited at 5.5 KB, indicating a small sample size.

Provenance

Source

Antonio Pérez-Torres via figshare

Collection Method

Empirical validation using an experimental dataset, as described.

Freshness

Last updated 2026-05-18 17:46:33; freshness should be verified.