Modified Predictive Maintenance Dataset

A dataset for predictive maintenance modeling, hosted on Hugging Face by EddyGiusepe. It was last updated in July 2024 and is categorized as containing up to 100,000 rows of tabular data. The specific source and original collection method are not detailed.

Use Cases

• Predict equipment failure using sensor readings and operational parameters.
• Classify machine health status (e.g., normal, warning, failure) based on time-series features.
• Train anomaly detection models to identify deviations from normal operating conditions in machinery data.

Strengths

• Dataset size is categorized as up to 100,000 rows, suitable for model training.
• Available in Parquet format for efficient data processing.

Limitations

• Specific column names, data types, and the exact number of rows are unknown.
• The original data source and collection methodology are not documented, limiting traceability.
• Potential for class imbalance in failure events is unverified.

Provenance

Source

Original source not specified; modified version by EddyGiusepe.

Collection Method

Modification method unknown; presumed derived from an existing predictive maintenance dataset.

Freshness

Last updated on 2024-07-24.

Geography

Region tag suggests United States (us), but specificity is unknown.