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

Patent ·
OSTI ID:871601
 [1];  [2]
  1. Bolingbrook, IL
  2. Naperville, IL
+ Show Author Affiliations

A method and system 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.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
DOE Contract Number:
W-31109-ENG-38
Assignee:
University of Chicago (Chicago, IL)
Patent Number(s):
US 5761090
OSTI ID:
871601
Country of Publication:
United States
Language:
English

References (17)

Signal validation with control-room information-processing computers journal January 1985
A Methodology for the Design and Analysis of a Sensor Failure Detection Network journal January 1993
An Integrated Signal Validation System for Nuclear Power Plants journal December 1990
Fault detection method using power supply spectrum analysis journal January 1990
Microcomputer-based fault detection using redundant sensors journal January 1988
Process hypercube comparison for signal validation journal April 1991
Algorithm-based fault detection for signal processing applications journal January 1990
4. Knowledge-based systems in process fault diagnosis journal April 1989
Early fault detection and diagnosis in Finnish nuclear power plants journal January 1988
Power Signal Validation for Taiwan Research Reactor journal January 1989
Instrument Fault Detection in a Pressurized Water Reactor Pressurizer journal January 1982
Construction and evaluation of fault detection network for signal validation journal January 1992
Validation of smart sensor technologies for instrument calibration reduction in nuclear power plants report January 1993
Signal validation techniques and power plant applications journal January 1988
An Expert System for Sensor Data Validation and Malfunction Detection book January 1988
On-Line Test of Signal Validation Software on the LOBI-MOD2 Facility in Ispra, Italy journal January 1992
Sequential Probability Ratio Tests for Reactor Signal Validation and Sensor Surveillance Applications journal August 1990

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expert
testing
industrial
processes
determining
sensor
status
method
monitoring
process
minimum
pairs
evaluating
operation
technique
generating
signal
characteristic
variable
obtaining
signals
associated
physical
difference
function
obtained
arithmetic
pair
time
frequency
domain
transformation
obtain
fourier
modes
describing
composite
residual
subtracting
free
nonwhite
noise
analyzed
statistical
probability
ratio
nonwhite noise
signal characteristic
industrial processes
frequency domain
difference function
industrial process
residual function
probability ratio
process variable
composite function
signals associated
sensor status
statistical probability
obtain fourier
modes describing
domain transformation
dual function
fourier modes
arithmetic difference
physical variable
determining sensor
white noise
/714/706/