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Automatisierte Suche.
- Source :
-
Fluid . 6/4/2024, Issue 3, p56-56. 1p. - Publication Year :
- 2024
-
Abstract
- Researchers from Fraunhofer IPA, the University of Stuttgart, and sensor company Sick have developed an AI-based solution for the automated detection of leaks in compressed air systems. By using a flow sensor and an intelligent algorithm, characteristic signatures indicating leaks can be identified. The solution allows for the detection of leaks in both new systems and existing machines. However, the product is not yet market-ready and is currently being further developed by Sick. [Extracted from the article]
Details
- Language :
- German
- ISSN :
- 0015461X
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Fluid
- Publication Type :
- Periodical
- Accession number :
- 177724728