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urstrulysareddy/predictive-maintenance-data

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Hugging Face2026-04-07 更新2026-04-12 收录
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--- license: mit task_categories: - tabular-classification tags: - predictive-maintenance - iot - sensors - fleet-management size_categories: - 1K<n<10K --- # Predictive Maintenance Engine Sensor Dataset Engine sensor readings from commercial diesel vehicles for predictive maintenance classification. ## Features | Feature | Description | Unit | |---------|-------------|------| | Engine RPM | Engine revolutions per minute | RPM | | Lub Oil Pressure | Lubrication oil pressure | bar | | Fuel Pressure | Fuel delivery pressure | bar | | Coolant Pressure | Cooling system pressure | bar | | Lub Oil Temp | Lubrication oil temperature | °C | | Coolant Temp | Engine coolant temperature | °C | | Engine Condition | Target: 0=Normal, 1=Needs Maintenance | binary | ## Dataset Splits | Split | Samples | Purpose | |-------|---------|---------| | train | 75% | Model training | | validation | 10% | Hyperparameter tuning | | test | 15% | Final evaluation | All splits are stratified by `Engine Condition` to maintain class balance. ## Usage ```python from datasets import load_dataset dataset = load_dataset("jskswamy/predictive-maintenance-data") train_df = dataset["train"].to_pandas() ``` ## License MIT License
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