# An approach to monitoring quality in manufacturing using supervised machine learning on product state data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-approach-to-monitoring-quality-in-manufacturing-using-supervised-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Thorsten Wuest,Christopher Irgens,Klaus‐Dieter Thoben |
| Citations | 243 |
| DOI | 10.1007/s10845-013-0761-y |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1965009340 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Klaus‐Dieter Thoben](https://scholariq.org/researchers/klaus-dieter-thoben/)

## Paper journal

- [Journal of Intelligent Manufacturing](https://scholariq.org/journals/journal-of-intelligent-manufacturing/)

## Paper primary topic

- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)

## Paper topics

- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.