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Title: Integrated method for chaotic time series analysis

Abstract

Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.

Inventors:
 [1];  [2]
  1. (Philadelphia, TN)
  2. (Concord, TN)
Issue Date:
Research Org.:
LOCKHEED MARTIN ENERGY RES COR
OSTI Identifier:
871874
Patent Number(s):
5815413
Assignee:
Lockheed Martin Energy Research Corporation (Oak Ridge, TN) ORNL
DOE Contract Number:  
AC05-96OR22464
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
integrated; method; chaotic; time; series; analysis; methods; apparatus; automatically; detecting; differences; similar; nonlinear; process; monitor; data; steps; acquiring; digitizing; obtaining; measures; via; serial; trends; determining; comparison; indicated; nonlinear measures; automatically detecting; analysis methods; time series; analysis method; serial trends; time serial; via chaotic; obtaining time; obtaining nonlinear; series analysis; chaotic time; data via; automatically detect; /702/600/

Citation Formats

Hively, Lee M., and Ng, Esmond G. Integrated method for chaotic time series analysis. United States: N. p., 1998. Web.
Hively, Lee M., & Ng, Esmond G. Integrated method for chaotic time series analysis. United States.
Hively, Lee M., and Ng, Esmond G. Thu . "Integrated method for chaotic time series analysis". United States. https://www.osti.gov/servlets/purl/871874.
@article{osti_871874,
title = {Integrated method for chaotic time series analysis},
author = {Hively, Lee M. and Ng, Esmond G.},
abstractNote = {Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data. Steps include: acquiring the data; digitizing the data; obtaining nonlinear measures of the data via chaotic time series analysis; obtaining time serial trends in the nonlinear measures; and determining by comparison whether differences between similar but different states are indicated.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}

Patent:

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