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metadata
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.