---
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.