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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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

ABSTRACT

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.