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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

巻:
巻 52, 2020 巻 51, 2019 巻 50, 2018 巻 49, 2017 巻 48, 2016 巻 47, 2015 巻 46, 2014 巻 45, 2013 巻 44, 2012 巻 43, 2011 巻 42, 2010 巻 41, 2009 巻 40, 2008 巻 39, 2007 巻 38, 2006 巻 37, 2005 巻 36, 2004 巻 35, 2003 巻 34, 2002 巻 33, 2001 巻 32, 2000 巻 31, 1999 巻 30, 1998 巻 29, 1997 巻 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v36.i3.50
pages 46-55

Diagnostics of Object State by Phase Trajectories of Observed Signals with Locally Concentrated Features

Leonid S. Fainzilberg
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kyiv

要約

A stochastic model of generation of a signal with locally concentrated features, distorted by internal and external perturbation, and also efficient algorithms of restoring useful signal by phase trajectories of distorted observations, are suggested. Advantages of the suggested approach are demonstrated on examples of derivation of new information technologies for diagnosis of state of technical and biological objects.


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