期刊论文详细信息
International Journal of Prognostics and Health Management | |
Emergent behaviour in a system of industrial plants detected via manifold learning | |
Gueorgui Mihaylov1  Matteo Spallanzani2  | |
[1] Politecnico di Torino, Department of Mathematical Sciences, Turin, 10129 TO, Italy;Tetra Pak Packaging Solutions, Modena, 41123 MO, Italy; | |
关键词: spectral analysis; spectral clustering; manifold learning; emergent behaviour; nonlocal features; | |
DOI : doi:10.36001/ijphm.2016.v7i4.2465 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown