System for monitoring an industrial process and determining sensor status
- Bolingbrook, IL
- Chicago, IL
- Columbia, MD
A method and system for monitoring an industrial process and a sensor. 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.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- DOE Contract Number:
- W-31109-ENG-38
- Assignee:
- ARCH Development Corporation (Chicago, IL)
- Patent Number(s):
- US 5459675
- OSTI ID:
- 870122
- Country of Publication:
- United States
- Language:
- English
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System for monitoring an industrial process and determining sensor status
System for monitoring an industrial process and determining sensor status
Related Subjects
industrial
process
determining
sensor
status
method
generating
signal
characteristic
variable
signals
artificial
generated
auto
regressive
moving
average
technique
obtaining
associated
physical
difference
function
obtained
arithmetic
pairs
time
frequency
domain
transformation
obtain
fourier
modes
describing
composite
residual
subtracting
free
nonwhite
noise
analyzed
statistical
probability
ratio
nonwhite noise
signal characteristic
frequency domain
difference function
signal generated
industrial process
residual function
probability ratio
process variable
composite function
signals associated
sensor status
artificial signal
average technique
moving average
statistical probability
obtain fourier
modes describing
domain transformation
dual function
fourier modes
arithmetic difference
physical variable
regressive moving
determining sensor
white noise
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