Self tuning system for industrial surveillance
Abstract
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.
 Inventors:

 Glendale Hts., IL
 Richard, WA
 Bolingbrook, IL
 Issue Date:
 Research Org.:
 Argonne National Laboratory (ANL), Argonne, IL (United States)
 OSTI Identifier:
 873300
 Patent Number(s):
 6131076
 Assignee:
 ARCH Development Corporation (Chicago, IL)
 Patent Classifications (CPCs):

G  PHYSICS G05  CONTROLLING G05B  CONTROL OR REGULATING SYSTEMS IN GENERAL
 DOE Contract Number:
 W31109ENG38
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
 Subject:
 tuning; 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; /702/700/
Citation Formats
Stephan, Wegerich W, Jarman, Kristin K, and Gross, Kenneth C. Self tuning system for industrial surveillance. United States: N. p., 2000.
Web.
Stephan, Wegerich W, Jarman, Kristin K, & Gross, Kenneth C. Self tuning system for industrial surveillance. United States.
Stephan, Wegerich W, Jarman, Kristin K, and Gross, Kenneth C. Sat .
"Self tuning system for industrial surveillance". United States. https://www.osti.gov/servlets/purl/873300.
@article{osti_873300,
title = {Self tuning system for industrial surveillance},
author = {Stephan, Wegerich W and Jarman, Kristin K and Gross, Kenneth C},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {1}
}