Self tuning system for industrial surveillance
- Glendale Hts., IL
- Richard, WA
- Bolingbrook, IL
A method and system for automatically establishing operational parameters of a statistical surveillance system. The method and system performs a frequency domain transition on time dependent data, a first Fourier composite is formed, serial correlation is removed, a series of Gaussian whiteness tests are performed along with an autocorrelation test, Fourier coefficients are stored and a second Fourier composite is formed. Pseudorandom noise is added, a Monte Carlo simulation is performed to establish SPRT missed alarm probabilities and tested with a synthesized signal. A false alarm test is then emperically evaluated and if less than a desired target value, then SPRT probabilities are used for performing surveillance.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- DOE Contract Number:
- W-31109-ENG-38
- Assignee:
- ARCH Development Corporation (Chicago, IL)
- Patent Number(s):
- US 6131076
- OSTI ID:
- 873300
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
industrial
surveillance
method
automatically
establishing
operational
parameters
statistical
performs
frequency
domain
transition
time
dependent
data
fourier
composite
formed
serial
correlation
removed
series
gaussian
whiteness
tests
performed
autocorrelation
coefficients
stored
pseudorandom
noise
added
monte
carlo
simulation
establish
sprt
missed
alarm
probabilities
tested
synthesized
signal
false
emperically
evaluated
desired
target
value
performing
time dependent
frequency domain
monte carlo
random noise
operational parameters
performing surveillance
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