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+ ---
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+ language: en
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+ pretty_name: Predictive Maintenance Engine Data
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+ task_categories:
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+ - tabular-classification
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+ tags:
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+ - predictive-maintenance
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+ - engine-failure
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+ - classification
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+ - machine-learning
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+ - tabular-data
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # Predictive Maintenance Engine Data
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+
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+ ## Description
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+ This dataset contains engine sensor readings used to classify whether an engine is operating normally or requires maintenance.
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+
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+ The dataset supports a predictive maintenance use case, where operational parameters such as RPM, pressure, and temperature are used to detect abnormal engine behavior.
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+
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+ ## Features
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+ The dataset includes the following variables:
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+
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+ - `Engine_rpm`
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+ - `Lub_oil_pressure`
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+ - `Fuel_pressure`
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+ - `Coolant_pressure`
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+ - `lub_oil_temp`
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+ - `Coolant_temp`
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+ - `Engine_Condition` (target variable)
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+
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+ ## Files Included
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+ - `engine_data.csv` → raw dataset
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+ - `train.csv` → training split
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+ - `test.csv` → testing split
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+
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+ ## Use Case
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+ This dataset is intended for machine learning classification tasks in predictive maintenance and engine condition monitoring.
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+
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+ ## Project Context
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+ This dataset was used as part of an academic capstone project focused on predictive maintenance for engine failure.