Eddy current technique for predicting burst pressure

Petri, Mark C; Kupperman, David S; Morman, James A; Reifman, Jaques; Wei, Thomas Y. C.

Title: Eddy current technique for predicting burst pressure

Abstract

A signal processing technique which correlates eddy current inspection data from a tube having a critical tubing defect with a range of predicted burst pressures for the tube is provided. The method can directly correlate the raw eddy current inspection data representing the critical tubing defect with the range of burst pressures using a regression technique, preferably an artificial neural network. Alternatively, the technique deconvolves the raw eddy current inspection data into a set of undistorted signals, each of which represents a separate defect of the tube. The undistorted defect signal which represents the critical tubing defect is related to a range of burst pressures utilizing a regression technique.

Inventors:

Petri, Mark C ^[1]; Kupperman, David S ^[2]; Morman, James A ^[3]; Reifman, Jaques ^[4]; Wei, Thomas Y. C. ^[5]

Yorkville, IL
Oak Park, IL
Woodridge, IL
Western Springs, IL
Downers Grove, IL

Issue Date:: 2003-01-01

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

OSTI Identifier:: 875048

Patent Number(s):: 6519535

Assignee:: The University of Chicago (Chicago, IL)

Patent Classifications (CPCs):: B - PERFORMING OPERATIONS B21 - MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL B21C - MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING

G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES

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B - PERFORMING OPERATIONS B21 - MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL B21C - MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING
B21C51/00 - Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F

G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G01N27/9046 - {by analysing electrical signals}

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

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: eddy; current; technique; predicting; burst; pressure; signal; processing; correlates; inspection; data; tube; critical; tubing; defect; range; predicted; pressures; provided; method; directly; correlate; raw; representing; regression; artificial; neural; network; alternatively; deconvolves; set; undistorted; signals; represents; separate; related; utilizing; eddy current; neural network; data representing; current inspection; signal process; processing technique; /702/73/706/

Citation Formats


                    Petri, Mark C, Kupperman, David S, Morman, James A, Reifman, Jaques, and Wei, Thomas Y. C.. Eddy current technique for predicting burst pressure.  United States: N. p., 2003. 
        Web.

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                    Petri, Mark C, Kupperman, David S, Morman, James A, Reifman, Jaques, & Wei, Thomas Y. C.. Eddy current technique for predicting burst pressure.  United States.

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                    Petri, Mark C, Kupperman, David S, Morman, James A, Reifman, Jaques, and Wei, Thomas Y. C.. Wed .  
        "Eddy current technique for predicting burst pressure".  United States.  https://www.osti.gov/servlets/purl/875048.

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@article{osti_875048,

  title        = {Eddy current technique for predicting burst pressure},

  author       = {Petri, Mark C and Kupperman, David S and Morman, James A and Reifman, Jaques and Wei, Thomas Y. C.},

  abstractNote = {A signal processing technique which correlates eddy current inspection data from a tube having a critical tubing defect with a range of predicted burst pressures for the tube is provided. The method can directly correlate the raw eddy current inspection data representing the critical tubing defect with the range of burst pressures using a regression technique, preferably an artificial neural network. Alternatively, the technique deconvolves the raw eddy current inspection data into a set of undistorted signals, each of which represents a separate defect of the tube. The undistorted defect signal which represents the critical tubing defect is related to a range of burst pressures utilizing a regression technique.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2003},

  month        = {1}

}

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Works referenced in this record:

Neural networks for the classification of nondestructive evaluation signals
journal, January 1991

Udpa, L.; Udpa, S. S.
IEE Proceedings F Radar and Signal Processing, Vol. 138, Issue 1
https://doi.org/10.1049/ip-f-2.1991.0007

A novel signal processing technique for eddy-current testing of steam generator tubes
journal, May 1998

Chen, Gangzhu; Yamaguchi, A.; Miya, K.
IEEE Transactions on Magnetics, Vol. 34, Issue 3, p. 642-648
https://doi.org/10.1109/20.668059

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Title: Eddy current technique for predicting burst pressure

Abstract

Citation Formats

Neural networks for the classification of nondestructive evaluation signals journal, January 1991

A novel signal processing technique for eddy-current testing of steam generator tubes journal, May 1998

Neural networks for the classification of nondestructive evaluation signals
journal, January 1991

A novel signal processing technique for eddy-current testing of steam generator tubes
journal, May 1998