AI4I 2020 Predictive Maintenance Dataset
About
The AI4I 2020 Predictive Maintenance Dataset is a synthetic dataset that reflects real predictive maintenance data encountered in industry.
Since real predictive maintenance datasets are generally difficult to obtain and in particular difficult to publish, we present and provide a synthetic dataset that reflects real predictive maintenance encountered in industry to the best of our knowledge.
Subject Area
Computer Science
Instances
10,000
Features
14
Data Types
Multivariate
Tasks
Classification, Regression
Feature Types
Continuous
Features
| Name | Role | Type | Units | Missing Values |
|---|---|---|---|---|
| UID | Id | Integer | - | No |
| Product ID | Id | Categorical | - | No |
| Type | Feature | Categorical | - | No |
| Air temperature | Feature | Continuous | K | No |
| Process temperature | Feature | Continuous | K | No |
| Rotational speed | Feature | Integer | rpm | No |
| Torque | Feature | Continuous | Nm | No |
| Tool wear | Feature | Integer | min | No |
| Machine failure | Target | Integer | - | No |
| TWF | Target | Integer | - | No |
| HDF | Target | Integer | - | No |
| PWF | Target | Integer | - | No |
| OSF | Target | Integer | - | No |
| RNF | Target | Integer | - | No |
Introductory Paper
Explainable Artificial Intelligence for Predictive Maintenance Applications
S. Matzka. 2020.
International Conference on Artificial Intelligence for Industries