A cyber-physical failure management system for smart factories
- In smart factories, maintenance is still an important aspect to safeguard the performance of their production. Especially in case of failures of machine components diagnosis is a time-consuming task. This paper presents an approach for a cyber-physical failure management system, which uses information from machines such as programmable logic controller or sensor data and IT systems to support the diagnosis and repairing process. Key element is a model combining the different information sources to detect deviations and to determine a probable failed component. Furthermore, the approach is prototypically implemented for leakage detection in compressed air networks.
| Author of HS Reutlingen | Lucke, Dominik |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-23188 |
| DOI: | https://doi.org/10.1016/j.procir.2019.03.052 |
| ISSN: | 2212-8271 |
| Erschienen in: | Procedia CIRP |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Editor: | Peter Butala |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2019 |
| Tag: | Industrie 4.0; cyber-physical system; maintenance; manufacturing; smart factory |
| Volume: | 81 |
| Page Number: | 6 |
| First Page: | 300 |
| Last Page: | 305 |
| DDC classes: | 670 Industrielle und handwerkliche Fertigung |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
