Integrated method for chaotic time series analysis
Patent
·
OSTI ID:871874
- Philadelphia, TN
- Concord, TN
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.
- Research Organization:
- LOCKHEED MARTIN ENERGY RES COR
- DOE Contract Number:
- AC05-96OR22464
- Assignee:
- Lockheed Martin Energy Research Corporation (Oak Ridge, TN)
- Patent Number(s):
- US 5815413
- OSTI ID:
- 871874
- Country of Publication:
- United States
- Language:
- English
Similar Records
Integrated method for chaotic time series analysis
Epileptic seizure prediction by non-linear methods
Apparatus and method for epileptic seizure detection using non-linear techniques
Patent
·
1998
·
OSTI ID:672692
Epileptic seizure prediction by non-linear methods
Patent
·
1998
·
OSTI ID:872089
Apparatus and method for epileptic seizure detection using non-linear techniques
Patent
·
1998
·
OSTI ID:871497
Related Subjects
/702/600/
acquiring
analysis
analysis method
analysis methods
apparatus
automatically
automatically detect
automatically detecting
chaotic
chaotic time
comparison
data
data via
detecting
determining
differences
digitizing
indicated
integrated
measures
method
methods
monitor
nonlinear
nonlinear measures
obtaining
obtaining nonlinear
obtaining time
process
serial
serial trends
series
series analysis
similar
steps
time
time serial
time series
trends
via
via chaotic
acquiring
analysis
analysis method
analysis methods
apparatus
automatically
automatically detect
automatically detecting
chaotic
chaotic time
comparison
data
data via
detecting
determining
differences
digitizing
indicated
integrated
measures
method
methods
monitor
nonlinear
nonlinear measures
obtaining
obtaining nonlinear
obtaining time
process
serial
serial trends
series
series analysis
similar
steps
time
time serial
time series
trends
via
via chaotic