Emergent behaviour in a system of industrial plants detected via manifold learning
Autor: | Matteo Spallanzani, Gueorgui Mihaylov |
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Rok vydání: | 2020 |
Předmět: |
Structure (mathematical logic)
spectral clustering Formalism (philosophy) Computer science Mechanical Engineering Industrial production Nonlinear dimensionality reduction emergent behaviour Energy Engineering and Power Technology Control engineering Monitoring system TA213-215 spectral analysis Spectral clustering Systems engineering Engineering machinery tools and implements TA168 nonlocal features manifold learning Line (geometry) Computer Science (miscellaneous) Safety Risk Reliability and Quality Complex adaptive system Civil and Structural Engineering |
Zdroj: | International Journal of Prognostics and Health Management, Vol 7, Iss 4 (2016) |
ISSN: | 2153-2648 |
DOI: | 10.36001/ijphm.2016.v7i4.2465 |
Popis: | The efficiency behaviour of an industrial plant, part of a huge international structure of plants, is modelled as an emergent phenomenon in a complex adaptive system. The study is based on real in-service data obtained from an industrial production line monitoring system. Models of complex adaptive systems and some modern manifold learning methods are introduced in a unified formalism. The emergent behaviour is efficiently described in this setup. |
Databáze: | OpenAIRE |
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