Method and system for inspecting objects using ultrasound scan data

• US 7,299,697 B2
• Filed: 03/31/2005
• Issued: 11/27/2007
• Est. Priority Date: 03/31/2005
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Dewangan, Sandeep Kumar, Siddu, Dinesh Mysore, Ramaswamy, Sivaramanivas, Katragadda, Gopichand
• Primary Examiner(s): Williams; Hezron
• Assistant Examiner(s): SAINT SURIN, JACQUES M
• Application Number:
  US11/094,909
• Publication Number:
  US 20060219011A1
• Time in Patent Office: 971 Days
• Field of Search: 735/97, 735/99, 736/00, 736/02, 735/87, 735/79, 736/18, 736/27, 736/28, 736/29, 737/78, 737/99, 738/01, 736/20, 736/23
• US Class Current: 73/597
• CPC Class Codes: G01N 2291/0258 Structural degradation, e.g. fatigue of composites, ageing of oils
• CPC Class Codes: G01N 2291/0289 Internal structure, e.g. defects, grain size, texture
• CPC Class Codes: G01N 2291/0422 Shear waves, transverse waves, horizontally polarised waves
• CPC Class Codes: G01N 2291/044 Internal reflections (echoes), e.g. on walls or defects
• CPC Class Codes: G01N 2291/105 two or more emitters, two or more receivers
• CPC Class Codes: G01N 2291/2636 cylindrical from inside
• CPC Class Codes: G01N 29/0645 Display representation or displayed parameters, e.g. A-, B- or C-Scan
• CPC Class Codes: G01N 29/069 Defect imaging, localisation and sizing using, e.g. time of flight diffraction [TOFD], synthetic aperture focusing technique [SAFT], Amplituden-Laufzeit-Ortskurven [ALOK] technique
• CPC Class Codes: G01N 29/07 by measuring propagation velocity or propagation time of acoustic waves
• CPC Class Codes: G01N 29/11 by measuring attenuation of acoustic waves
• CPC Class Codes: G01N 29/343 pulse waves, e.g. particular sequence of pulses, bursts
• CPC Class Codes: G01N 29/4463 Signal correction, e.g. distance amplitude correction [DAC], distance gain size [DGS], noise filtering

Abstract

A method and apparatus for estimating a depth of a crack from ultrasound scan data are provided. The method includes mapping multiple amplitude responses from the ultrasound scan data, each mapped amplitude response being representative of a signal from one of the sensors. The method further includes locating multiple linear responses among the mapped amplitude responses, each linear response being an indicator of a reflected signal from the crack. One or more sensor that corresponds to the linear responses from a given crack is identified. The depth of the crack is estimated using data from the identified sensors.

Claims

1. A method for estimating a depth of a crack from ultrasound scan data, the method comprising:

mapping a plurality of amplitude responses from the ultrasound scan data, each mapped amplitude response being representative of a signal from one of a plurality of sensors;

locating a plurality of linear responses among the plurality of mapped amplitude responses, each linear response being an indicator of a reflected signal from the crack;

identifying one or more sensors corresponding to the linear responses from the crack;

estimating the depth of the crack using data from the one or more sensors; and

determining whether the crack originates on an external surface or an internal surface of a pipeline.

2. The method of claim 1, wherein data from the plurality of sensors comprises data for position, time of flight and entry echo time of the sensor signal.

3. The method of claim 1, comprising computing a maximum depth estimate for the crack using the data from each of the plurality of sensors receiving the reflected signal from the crack.

4. The method of claim 1, comprising computing an average depth estimate for the crack using the data from each of the plurality of sensors receiving the reflected signal from the crack.

5. The method of claim 1, comprising using a skip distance value for the respective sensors for estimating the depth of the crack.

6. The method of claim 1, wherein the signal comprises a central ray of an ultrasound beam.

7. An apparatus for estimating a depth of a crack from ultrasound scan data, the apparatus comprising:

an amplitude processor that is adapted to map a plurality of amplitude responses from the ultrasound scan data, and to locate a plurality of linear responses, each mapped amplitude response being representative of a respective sensor signal, and each linear response being an indicator of a reflected signal from the crack; and

a crack sizing component that is adapted to identify respective sensors corresponding to respective linear responses and to estimate the depth of the crack using data from the respective sensors, and wherein the crack sizing component is further adapted to determine whether the crack originates on an external surface or an internal surface of a pipeline.

8. The apparatus of claim 7, wherein data from the respective sensors comprises data for position, time of flight and entry echo time of the sensor signal.

9. The apparatus of claim 7, wherein the crack sizing component is configured to compute a maximum depth estimate for the crack using the data from each of a plurality of sensors receiving the reflected signal from the crack.

10. The apparatus of claim 7, wherein the crack sizing component is configured to compute an average depth estimate for the crack using the data from each of a plurality of sensors receiving the reflected signal from the crack.

11. The apparatus of claim 7, wherein the crack sizing component uses a skip distance value for the respective sensors for estimating the depth of the crack.

12. An ultrasound imaging system, comprising:

a plurality of sensors disposed at discrete spatial distances along an object being inspected, each of the sensors being configured to transmit to and receive signals from the object;

a data acquisition system that is adapted to acquire ultrasound scan data from the plurality of sensors, the data being representative of signals received by the plurality of sensors;

an amplitude processing component that is adapted to map a plurality of amplitude responses from the ultrasound scan data, and to locate a plurality of linear responses, each mapped amplitude response representing a respective sensor signal, and each linear response indicating a reflected signal from a crack in the object; and

a crack sizing component that is adapted to identify respective sensors corresponding to respective linear responses and to estimate a depth of the crack using data from the respective sensors, and wherein the crack sizing component is further adapted to determine whether the crack originates on an external surface or an internal surface of a pipeline.

13. The imaging system of claim 12, wherein data from the plurality of sensors comprises data for position, time of flight and entry echo time of the sensor signal.

14. The imaging system of claim 12, wherein the crack sizing component is configured to compute a maximum depth estimate for the crack using the data from each of the plurality of sensors receiving the reflected signal from the crack.

15. The imaging system of claim 12, wherein the crack sizing component is configured to compute an average depth estimate for the crack using the data from each of the plurality of sensors receiving the reflected signal from the crack.

16. The imaging system of claim 12, wherein the crack sizing component uses a skip distance value for the respective sensors for estimating the depth of the crack.