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