Summary: This dataset captures data from a versatile production system, focusing on various manufacturing processes including assembly and quality control, using diverse sensors and system states.
| Parameter | Value |
|---|---|
| Name | Versatile Production Dataset |
| Labeled | Yes |
| Time Series | Yes |
| Simulation | INA |
| Missing Values | Yes |
| Dataset Characteristics | Multivariate, Time-Series |
| Feature Type | Real, Integer |
| Associated Tasks | Regression, Classification |
| Number of Instances | INA |
| Number of Features | INA |
| Date Donated | INA |
| Source | Kaggle |
The dataset is part of a research project at the inIT Institute of Industrial IT, aimed at simulating and monitoring various industrial processes. The data is collected from a flexible production system that mimics real-world manufacturing scenarios, integrating multiple sensors across different stages of production.
Recorded data encompasses multiple sensor readings such as temperature, vibration, and throughput, along with system states, providing insights into machine performance and operational efficiency. The dataset is designed to support advanced analysis for process optimization and predictive maintenance strategies.
Industrial automation, Sensor data, Production systems, Quality control, Manufacturing processes