Expert system for testing industrial processes and determining sensor status
- Bolingbrook, IL
- Naperville, IL
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
Similar Records
System for monitoring an industrial process and determining sensor status
System for monitoring an industrial process and determining sensor status
Related Subjects
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/