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
- 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
Similar Records
Spectrum-transformed sequential testing method for signal validation applications
Reactor coolant pump surveillance using sequential probability ratio tests
Related Subjects
added
alarm
autocorrelation
automatically
carlo
coefficients
composite
correlation
data
dependent
desired
domain
emperically
establish
establishing
evaluated
false
formed
fourier
frequency
frequency domain
gaussian
industrial
method
missed
monte
monte carlo
noise
operational
operational parameters
parameters
performed
performing
performing surveillance
performs
probabilities
pseudorandom
random noise
removed
serial
series
signal
simulation
sprt
statistical
stored
surveillance
synthesized
target
tested
tests
time
time dependent
transition
tuning
value
whiteness