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Title: Expert system for testing industrial processes and determining sensor status

Abstract

A method and system are disclosed for monitoring both an industrial process and a sensor. The method and system include determining a minimum number of sensor pairs needed to test the industrial process as well as the sensor for evaluating the state of operation of both. The technique further includes generating a first and second signal characteristic of an industrial process variable. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the pair of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 24 figs.

Inventors:
;
Issue Date:
Research Org.:
Univ. of Chicago, IL (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
672548
Patent Number(s):
5761090
Application Number:
PAN: 8-541,602
Assignee:
Univ. of Chicago, IL (United States)
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Patent
Resource Relation:
Other Information: PBD: 2 Jun 1998
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; INDUSTRIAL PLANTS; EXPERT SYSTEMS; PROCESS CONTROL; MONITORING; ON-LINE MEASUREMENT SYSTEMS; SIGNALS; DATA ANALYSIS

Citation Formats

Gross, K C, and Singer, R M. Expert system for testing industrial processes and determining sensor status. United States: N. p., 1998. Web.
Gross, K C, & Singer, R M. Expert system for testing industrial processes and determining sensor status. United States.
Gross, K C, and Singer, R M. Tue . "Expert system for testing industrial processes and determining sensor status". United States.
@article{osti_672548,
title = {Expert system for testing industrial processes and determining sensor status},
author = {Gross, K C and Singer, R M},
abstractNote = {A method and system are disclosed for monitoring both an industrial process and a sensor. The method and system include determining a minimum number of sensor pairs needed to test the industrial process as well as the sensor for evaluating the state of operation of both. The technique further includes generating a first and second signal characteristic of an industrial process variable. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the pair of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 24 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {6}
}