title: Neural Clouds for Monitoring of Complex Systems
metadata.name: dc.contributor.author
metadata.value: Lang, B.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Poppe, T.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Minin, A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mokhov, I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kuperin, Y.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mekler, A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Liapakin, I.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2015-08-27T12:52:50Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2015-08-27T12:52:50Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2008
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 1060-992X
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/1687
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Condition monitoring is an important and challenging task actual for many areas of industry,
  medicine and economics. Nowadays it is necessary to provide on-line monitoring of the complex systems
  status, e.g. the steel production, in order to avoid faults, breakdowns or wrong diagnostics. In the
  present paper a novel machine learning method for the automated condition monitoring is presented.
  Neural Clouds (NC) is a novel data encapsulation method, which provides a confidence measure regarding
  classification of the complex system conditions. The presented adaptive algorithm requires only the
  data which corresponds to the normal system conditions, which is typically available. At the same time
  the fault related data acquisition is expensive and fault modeling is not always possible, especially in
  case one is dealing with steel production, power stations operation, human health condition or critical
  phenomena in financial markets. These real word applications are also presented in the paper.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Allerton Press, Inc.
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Optical Memory and Neural Networks (Information Optics);Vol. 17, No. 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: neural clouds
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fault analysis and prevention
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: early fault detection
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: one side classification
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Neural Clouds for Monitoring of Complex Systems
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: OptMem3_08_Complexity.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/1687/1/OptMem3_08_Complexity.pdf
resources.format: Adobe PDF
resources.size: 750,51 kB