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Title: 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:
 [1];  [2];  [3]
  1. Glendale Hts., IL
  2. Richard, WA
  3. Bolingbrook, IL
Issue Date:
Research Org.:
Argonne National Lab. (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:  
W-31109-ENG-38
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}
}