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Title: System for monitoring an industrial process and determining sensor status

Abstract

A method and system for monitoring an industrial process and a sensor are disclosed. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs 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. 17 figs.

Inventors:
; ;
Issue Date:
Research Org.:
Univ. of Chicago, IL (United States)
OSTI Identifier:
119053
Patent Number(s):
5,459,675
Application Number:
PAN: 8-068,713
Assignee:
ARCH Development Corp., Chicago, IL (United States) PTO; SCA: 320303; PA: EDB-95:148528; SN: 95001477074
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Patent
Resource Relation:
Other Information: PBD: 17 Oct 1995
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; INDUSTRIAL PLANTS; PROCESS CONTROL; MONITORS; DESIGN; DATA PROCESSING; FOURIER ANALYSIS; TIME DEPENDENCE

Citation Formats

Gross, K.C., Hoyer, K.K., and Humenik, K.E. System for monitoring an industrial process and determining sensor status. United States: N. p., 1995. Web.
Gross, K.C., Hoyer, K.K., & Humenik, K.E. System for monitoring an industrial process and determining sensor status. United States.
Gross, K.C., Hoyer, K.K., and Humenik, K.E. Tue . "System for monitoring an industrial process and determining sensor status". United States.
@article{osti_119053,
title = {System for monitoring an industrial process and determining sensor status},
author = {Gross, K.C. and Hoyer, K.K. and Humenik, K.E.},
abstractNote = {A method and system for monitoring an industrial process and a sensor are disclosed. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs 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. 17 figs.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1995},
month = {10}
}