System for monitoring an industrial process and determining sensor status

Gross, Kenneth C; Hoyer, Kristin K; Humenik, Keith E

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

Abstract

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.

Inventors:

Gross, Kenneth C ^[1]; Hoyer, Kristin K ^[2]; Humenik, Keith E ^[3]

Bolingbrook, IL
Chicago, IL
Columbia, MD

Issue Date:: 1997-01-01

Research Org.:: Argonne National Laboratory (ANL), Argonne, IL (United States)

OSTI Identifier:: 870950

Patent Number(s):: 5629872

Application Number:: 08/631745

Assignee:: ARCH Development Corporation (Chicago, IL)

Patent Classifications (CPCs):: G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL

G - PHYSICS G21 - NUCLEAR PHYSICS G21C - NUCLEAR REACTORS

Show more

G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G05B9/03 - with multiple-channel loop, i.e. redundant control systems

G - PHYSICS G21 - NUCLEAR PHYSICS G21C - NUCLEAR REACTORS
G21C17/00 - Monitoring

G - PHYSICS G21 - NUCLEAR PHYSICS G21D - NUCLEAR POWER PLANT
G21D3/001 - {Computer implemented control}

Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
Y02E30/00 - Energy generation of nuclear origin
Y02E30/30 - Nuclear fission reactors

Show less

DOE Contract Number:: W-31109-ENG-38

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: monitoring; 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; /702/

Citation Formats


                    Gross, Kenneth C, Hoyer, Kristin K, and Humenik, Keith E. System for monitoring an industrial process and determining sensor status.  United States: N. p., 1997. 
        Web.

Copy to clipboard


                    Gross, Kenneth C, Hoyer, Kristin K, & Humenik, Keith E. System for monitoring an industrial process and determining sensor status.  United States.

Copy to clipboard


                    Gross, Kenneth C, Hoyer, Kristin K, and Humenik, Keith E. Wed .  
        "System for monitoring an industrial process and determining sensor status".  United States.  https://www.osti.gov/servlets/purl/870950.

Copy to clipboard


                    
@article{osti_870950,

  title        = {System for monitoring an industrial process and determining sensor status},

  author       = {Gross, Kenneth C and Hoyer, Kristin K and Humenik, Keith E},

  abstractNote = {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.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {1997},

  month        = {1}

}

Copy to clipboard

Patent:

Save / Share:

Export Metadata

Save to My Library

Works referenced in this record:

Signal validation with control-room information-processing computers
journal, January 1985

Belblidia, L. A.; Carlson, R. W.; Russell, J. L.
Annals of Nuclear Energy, Vol. 12, Issue 10
https://doi.org/10.1016/0306-4549(85)90028-3

A Methodology for the Design and Analysis of a Sensor Failure Detection Network
journal, January 1993

Chou, H. P.; Ning, J. N.; Tsai, T. M.
Nuclear Technology, Vol. 101, Issue 1
https://doi.org/10.13182/NT93-A34771

An Integrated Signal Validation System for Nuclear Power Plants
journal, December 1990

Holbert, Keith E.; Upadhyaya, Belle R.
Nuclear Technology, Vol. 92, Issue 3
https://doi.org/10.13182/NT90-A16242

Fault detection method using power supply spectrum analysis
journal, January 1990

Lee, P.; O'leary, P.
Electronics Letters, Vol. 26, Issue 20
https://doi.org/10.1049/el:19901106

Microcomputer-based fault detection using redundant sensors
journal, January 1988

Polenta, H. P.; Ray, A.; Bernard, J. A.
IEEE Transactions on Industry Applications, Vol. 24, Issue 5
https://doi.org/10.1109/28.8997

Process hypercube comparison for signal validation
journal, April 1991

Holbert, K. E.
IEEE Transactions on Nuclear Science, Vol. 38, Issue 2
https://doi.org/10.1109/23.289394

Algorithm-based fault detection for signal processing applications
journal, January 1990

Reddy, A. L. N.; Banerjee, P.
IEEE Transactions on Computers, Vol. 39, Issue 10
https://doi.org/10.1109/12.59860

4. Knowledge-based systems in process fault diagnosis
journal, April 1989

Sudduth, A. L.
Nuclear Engineering and Design, Vol. 113, Issue 2
https://doi.org/10.1016/0029-5493(89)90071-X

Early fault detection and diagnosis in Finnish nuclear power plants
journal, January 1988

Eklund, J.; Kuismanen, S.; Lucander, A.
Progress in Nuclear Energy, Vol. 21
https://doi.org/10.1016/0149-1970(88)90067-4

Power Signal Validation for Taiwan Research Reactor
journal, January 1989

Lin, Chaung; Chen, Jen-Min; Lee, Shaw-Cuang
Nuclear Technology, Vol. 84, Issue 1
https://doi.org/10.13182/NT89-A34191

Instrument Fault Detection in a Pressurized Water Reactor Pressurizer
journal, January 1982

Clark, R. N.; Campbell, B.
Nuclear Technology, Vol. 56, Issue 1
https://doi.org/10.13182/NT82-A32877

Construction and evaluation of fault detection network for signal validation
journal, January 1992

Ning, J. N.; Chou, H. P.
IEEE Transactions on Nuclear Science, Vol. 39, Issue 4
https://doi.org/10.1109/23.159737

Signal validation techniques and power plant applications
journal, January 1988

Murthy Divakaruni, S.; Sun, Bill K. -H.; Deutsch, Owen L.
Progress in Nuclear Energy, Vol. 22, Issue 3
https://doi.org/10.1016/0149-1970(88)90005-4

On-Line Test of Signal Validation Software on the LOBI-MOD2 Facility in Ispra, Italy
journal, January 1992

Prock, Johannes; Ohlmer, Eggert; Labeit, Michael
Nuclear Technology, Vol. 97, Issue 1
https://doi.org/10.13182/NT92-A34625

Similar Records in DOE Patents and OSTI.GOV collections:

System for monitoring an industrial process and determining sensor status

Patent Gross, Kenneth C [Bolingbrook, IL]; Hoyer, Kristin K [Chicago, IL]; Humenik, Keith E [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 compositemore » « less
Full Text Available
Expert system for testing industrial processes and determining sensor status

Patent Gross, Kenneth C [Bolingbrook, IL]; Singer, Ralph M [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 modesmore » « less
Full Text Available
System for monitoring an industrial process and determining sensor status

Patent Gross, K C; Hoyer, K K; Humenik, K E

A method and system are disclosed 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 subtractingmore » « less
System for monitoring an industrial process and determining sensor status

Patent Gross, K C; Hoyer, K K; Humenik, K E

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 subtractingmore » « less
Process control monitoring systems, industrial plants, and process control monitoring methods

Patent Skorpik, James R [Kennewick, WA]; Gosselin, Stephen R [Richland, WA]; Harris, Joe C [Kennewick, WA]

A system comprises a valve; a plurality of RFID sensor assemblies coupled to the valve to monitor a plurality of parameters associated with the valve; a control tag configured to wirelessly communicate with the respective tags that are coupled to the valve, the control tag being further configured to communicate with an RF reader; and an RF reader configured to selectively communicate with the control tag, the reader including an RF receiver. Other systems and methods are also provided.
Full Text Available

Similar Records

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

Abstract

Citation Formats

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

Signal validation techniques and power plant applications journal, January 1988

On-Line Test of Signal Validation Software on the LOBI-MOD2 Facility in Ispra, Italy journal, January 1992

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

Signal validation techniques and power plant applications
journal, January 1988

On-Line Test of Signal Validation Software on the LOBI-MOD2 Facility in Ispra, Italy
journal, January 1992