Emergent behaviour in a system of industrial plants detected via manifold learning

Autor: Matteo Spallanzani, Gueorgui Mihaylov
Rok vydání: 2020
Předmět:
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