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 are disclosed. 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. 8 figs.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 672692
- Patent Number(s):
- 5815413
- Application Number:
- PAN: 8-853,226
- Assignee:
- Lockheed Martin Energy Research Corp., Oak Ridge, TN (United States)
- DOE Contract Number:
- AC05-96OR22464
- Resource Type:
- Patent
- Resource Relation:
- Other Information: PBD: 29 Sep 1998
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; NONLINEAR PROBLEMS; TIME-SERIES ANALYSIS; ON-LINE MEASUREMENT SYSTEMS; PROCESS CONTROL; DATA ACQUISITION; DIGITIZERS
Citation Formats
Hively, L M, and Ng, E G. Integrated method for chaotic time series analysis. United States: N. p., 1998.
Web.
Hively, L M, & Ng, E G. Integrated method for chaotic time series analysis. United States.
Hively, L M, and Ng, E G. Tue .
"Integrated method for chaotic time series analysis". United States.
@article{osti_672692,
title = {Integrated method for chaotic time series analysis},
author = {Hively, L M and Ng, E G},
abstractNote = {Methods and apparatus for automatically detecting differences between similar but different states in a nonlinear process monitor nonlinear data are disclosed. 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. 8 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {9}
}
Search for the full text at the U.S. Patent and Trademark Office
Note: You will be redirected to the USPTO site, which may require a pop-up blocker to be deactivated to view the patent. If so, you will need to manually turn off your browser's pop-up blocker, typically found within the browser settings. (See DOE Patents FAQs for more information.)
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.