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.
Description
The present invention relates to methods for analyzing nonlinear data
from diverse sources, including but not limited to electroencephalogram
and magnetoencephalogram brain wave data, electrocardiogram data, and
motor current data from processes
such as metal machining operations and electrically-driven pumps.
A deviation from normal process conditions can indicate performance
degradation or the onset of imminent failure. Real- or near-real-time
monitoring of the process condition can detect this deviation in data
from current, voltage, acceleration,
acoustic emission, pressure, power, and other measurable quantities.
Prompt response to a significant deviation can help to maintain optimal
performance and can avert disastrous failure.
The theory of nonlinear dynamics provides a basis for
understanding and potentially controlling many complex physical and
engineering systems. For example, an extensive literature exists for
nonlinear dynamics in the brain and related work as
cited in U.S. patent application Ser. No. 08/619,024, U.S. patent
application Ser. No. 08/619,030, and U.S. patent application Serial
No. 08/619,031 hereinabove incorporated by reference. Other documents
listed below refer to earlier work using
linear and nonlinear methods of analysis. Numbers in parentheses within
the text of the disclosure hereinafter refer to documents as listed
below.
Images
Tech Transfer Details
- 08/29/2011
- http://inspire.ornl.gov/Document/View/d5a05ecc-27 ...
- 08/29/2011
Details
- Patent
- ORNL
- 05/8/1997
- 09/29/1998
- Hively; Lee M.; Ng; Esmond G.
- Patent #5815413
- 3 : Analytical and experimental critical function and/or characteristic proof of concept
Categories
Simulation & Modeling
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