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Title: Ultrasensitive surveillance of sensors and processes

Abstract

A method and apparatus for monitoring a source of data for determining an operating state of a working system. The method includes determining a sensor (or source of data) arrangement associated with monitoring the source of data for a system, activating a method for performing a sequential probability ratio test if the data source includes a single data (sensor) source, activating a second method for performing a regression sequential possibility ratio testing procedure if the arrangement includes a pair of sensors (data sources) with signals which are linearly or non-linearly related; activating a third method for performing a bounded angle ratio test procedure if the sensor arrangement includes multiple sensors and utilizing at least one of the first, second and third methods to accumulate sensor signals and determining the operating state of the system.

Inventors:
 [1];  [2];  [3]
  1. Glendale Heights, IL
  2. Richland, WA
  3. Bolingbrook, IL
Issue Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
OSTI Identifier:
872681
Patent Number(s):
5987399
Assignee:
ARCH Development Corporation (Argonne, IL)
Patent Classifications (CPCs):
G - PHYSICS G21 - NUCLEAR PHYSICS G21C - NUCLEAR REACTORS
G - PHYSICS G21 - NUCLEAR PHYSICS G21D - NUCLEAR POWER PLANT
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
ultrasensitive; surveillance; sensors; processes; method; apparatus; monitoring; source; data; determining; operating; sensor; arrangement; associated; activating; performing; sequential; probability; ratio; single; regression; possibility; testing; procedure; pair; sources; signals; linearly; non-linearly; related; third; bounded; angle; multiple; utilizing; methods; accumulate; sensor signals; multiple sensors; probability ratio; data source; sequential probability; third method; data sources; linearly related; ultrasensitive surveillance; sensor signal; arrangement associated; /702/376/

Citation Formats

Wegerich, Stephan W, Jarman, Kristin K, and Gross, Kenneth C. Ultrasensitive surveillance of sensors and processes. United States: N. p., 1999. Web.
Wegerich, Stephan W, Jarman, Kristin K, & Gross, Kenneth C. Ultrasensitive surveillance of sensors and processes. United States.
Wegerich, Stephan W, Jarman, Kristin K, and Gross, Kenneth C. Fri . "Ultrasensitive surveillance of sensors and processes". United States. https://www.osti.gov/servlets/purl/872681.
@article{osti_872681,
title = {Ultrasensitive surveillance of sensors and processes},
author = {Wegerich, Stephan W and Jarman, Kristin K and Gross, Kenneth C},
abstractNote = {A method and apparatus for monitoring a source of data for determining an operating state of a working system. The method includes determining a sensor (or source of data) arrangement associated with monitoring the source of data for a system, activating a method for performing a sequential probability ratio test if the data source includes a single data (sensor) source, activating a second method for performing a regression sequential possibility ratio testing procedure if the arrangement includes a pair of sensors (data sources) with signals which are linearly or non-linearly related; activating a third method for performing a bounded angle ratio test procedure if the sensor arrangement includes multiple sensors and utilizing at least one of the first, second and third methods to accumulate sensor signals and determining the operating state of the system.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 1999},
month = {Fri Jan 01 00:00:00 EST 1999}
}

Works referenced in this record:

Using Fourier Series Methods to Reduce Correlation of Nuclear Power Reactor Data
journal, October 1992


Sequential Probability Ratio Test for Nuclear Plant Component Surveillance
journal, February 1991


Sequential Probability Ratio Tests for Reactor Signal Validation and Sensor Surveillance Applications
journal, August 1990