System for nondestructive evaluation of material flaw characteristics

• US 4,213,183 A
• Filed: 03/22/1979
• Issued: 07/15/1980
• Est. Priority Date: 03/22/1979
• Status: Expired due to Term

• Current Assignee: Instron Corporation (Illinois Tool Works Inc.)
• Original Assignee: Adaptronics, Inc.
• Inventors: Mucciardi, Anthony N., Barron, Roger L., Brown, Claire L.
• Primary Examiner(s): Krass, Errol A.
• Application Number:
  US06/022,753
• Time in Patent Office: 481 Days
• Field of Search: 364/507, 364/524, 364/552, 364/487, 364/498, 364/415, 364/416, 73/618, 73/619, 73/632, 73/634, 356/237, 209/528
• US Class Current: 702/39
• CPC Class Codes: G01N 2291/0289 Internal structure, e.g. defects, grain size, texture
• CPC Class Codes: G01N 2291/044 Internal reflections (echoes), e.g. on walls or defects
• CPC Class Codes: G01N 2291/2693 Rotor or turbine parts
• CPC Class Codes: G01N 29/11 by measuring attenuation of acoustic waves
• CPC Class Codes: G01N 29/22 Details , e.g. general constructional or apparatus details
• CPC Class Codes: G01N 29/226 Handheld or portable devices
• CPC Class Codes: G01N 29/265 by moving the sensor relative to a stationary material
• CPC Class Codes: G01N 29/30 Arrangements for calibrating or comparing, e.g. with standard objects
• CPC Class Codes: G01N 29/4445 Classification of defects
• CPC Class Codes: G01N 29/4481 Neural networks
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14

Abstract

The disclosure relates to a system for nondestructive evaluation (NDE) of material flaw characteristics. The NDE system, after being trained on previously-acquired experimental data, is given an assigned NDE task by the inspector and/or remote observer. This task is requested via a small keyboard on the system control unit or remotely. The system then issues detailed commands to stepping motors in its transducer-positioning mechanism (scanner) and to logic circuits in the ultrasonic (UT) pulser/receiver to establish the sequence of transducer (probe) translation and orientation changes and the frequency, pulse-width, and pulse repetition interval used to energize the probe. Shaft-position encoders in the scanning mechanism are used to insure faithful following of the commanded position/orientation sequence. Additionally, the system establishes a sequence of windowing functions to be used for time-gating of the output waveform from the probe, and it calls from memory and performs the appropriate signal processing functions for the assigned inspection task.

The signal processing unit within the system detects, classifies, and sizes flaws on or within the object under test by use of adaptive learning network (ALN) signal-processing functions. This unit causes the display to present appropriate information on suspected flaws for evaluation by the inspector and/or remote observer. The display unit also has a miniature printer to make permanent hardcopy records of vital information. Data storage is provided for retention of those waveforms and related data of greatest interest.

Claims

1. A method of nondestructive testing and evaluation of signals representative of characteristics of an object under test, which comprises the steps of:

(a) providing a data base comprising data indicative of predetermined characteristics of said object under test,

(b) positioning transducer means relative to said object under test in response to data in said data base,

(c) receiving an energy waveform emanating from said object under test at said transducer means after said positioning,

(d) performing an analysis at selected points on said waveform to extract waveform features thereof,

(e) comparing the extracted waveform features of said analysis with said data base by a cluster test,

(f) classifying said waveform features from said comparison, and

(g) indicating the existence and parameters of said characteristics of said object under rest from said classifying.

2. A method as set forth in claim 1 wherein the results of said classification are stored.

3. A method as set forth in claim 2 wherein said energy waveform is stored.

4. A method as set forth in claim 3 wherein said received energy waveform is reflected from said object under test.

5. A method as set forth in claim 4 wherein said analysis performed in step (d) is at least one of a spectral and cepstral analysis.

6. A method as set forth in claim 3 wherein said analysis performed in step (d) is at least one of a spectral and cepstral analysis.

7. A method as set forth in claim 1 wherein said energy waveform is stored.

8. A method as set forth in claim 1 wherein said received energy waveform is reflected from said object under test.

9. A method as set forth in claim 8 wherein said analysis performed in step (d) is at least one of a spectral and cepstral analysis.

10. a method as set forth in claim 1 wherein said analysis performed in step (d) is at least one of a spectral and cepstral analysis.

11. A test system for nondestructive evaluation of signals representative of characteristics of an object under test, which comprises:

(a) transducer means for receiving energy waveforms from said object under test,

(b) positioning means for positioning said transducer means relative to said object under test,

(c) control means for controlling said positioning means,

(d) means responsive to the waveforms received by said transducer and controlled by said control means to select a portion of said waveform,

(e) means for selecting a predetermined number of points on the selected portion of said waveform and processing said points according to a predetermined format to provide predetermined waveform features,

(f) means for comparing the waveform features with a known set of waveform features by a cluster test, and

(g) means responsive to said comparison to provide characteristics of said object under test.

12. A test system as set forth in claim 11 wherein said transducer means are ultrasonic.

13. A test system as set forth in claim 12 wherein said control means includes storage means for storing a data base and storage means for storing instructions and said control means further includes means for evaluating said signal waveforms received by said transducer means and said means for selecting includes means to compute a cepstral spectrum, a power cepstrum and a phase cepstrum from said received signal waveforms.

14. A test system as set forth in claim 11 wherein said control means includes storage means for storing a data base and storage means for storing instructions and said control means further includes means for evaluating said signal waveforms received by said transducer means and said means for selecting includes means to compute a cepstral spectrum, a power cepstrum and a phase cepstrum from said received signal waveforms.

15. A method of nondestructive testing and evaluation of signals representative of characteristics of an object under test, which comprises the steps of:

(a) providing a data base comprising data indicative of predetermined characteristics of said object under test,

(b) positioning transducer means relative to said object under test in response to data in said data base,

(c) receiving at least one energy waveform on at least one boundary of the object under test,

(d) performing an analysis of at least one of selected points and selected portions of said waveform,

(e) analyzing the results of said analysis relative to said data base by at least one of a cluster test and a waveform classifying procedure to indicate at least one of the existence of and parameters of said characteristics of said object under test, and

(f) determining the desirability of storing at least one of and displaying at least one of said energy waveforms, said existence, said parameters and none of these.

16. A method as set forth in claim 15 wherein said classifying is performed by an adaptive learning network.

17. A method as set forth in claim 15 wherein said classifying procedure is performed by an adaptive learning network.

18. A test system for nondestructive evaluation of signals representative of characteristics of an object under test, which comprises:

(a) transducer means for receiving energy waveforms from said object under test,

(b) means for at least one of measuring and measuring and controlling the position of said transducer means relative to said object under test,

(c) means responsive to the waveforms received by said transducer means and said means for measuring to select at least one of points and portions of said waveforms,

(d) means for performing an analysis of at least one of said points and portions of said waveforms;

(e) means for analyzing the results of said analysis by at least one of a cluster test and a waveform classifying procedure to indicate at least one of the existence of and parameters of said characteristics of said object under test, and

(f) means for determining desirability of at least one of storing and displaying at least one of said energy waveforms, said existence, said parameters and none of these.

19. A system as set forth in claim 18 further including an adaptive learning network to perform said classifying procedure.

20. A method of nondestructive testing and evaluation of signals representative of characteristics of an object under test, which comprises the steps of:

(a) providing a data base comprising data indicative of predetermined characteristics of said object under test,

(b) positioning transducer means relative to said objects under test in response to data in said data base,

(c) receiving at least one energy waveform on at least one boundary of the object under test,

(d) performing an analysis of at least one of selected points and selected portions of said waveform, and

(e) analyzing the results of said analysis relative to said data base by at least one of a cluster test and a waveform classifying procedure to indicate at least one of the existence of and parameters of said characteristics of said object under test.

21. A test system for nondestructive evaluation of signals representative of characteristics of an object under test, which comprises:

(a) transducer means for receiving energy waveforms from said object under test,

(b) means for at least one of measuring and measuring and controlling the position of said transducer means relative to said object under test,

(c) means responsive to the waveforms received by said transducer means and said means for measuring to select at least one of points and portions of said waveforms,

(d) means for performing an analysis of at least one of said points and portions of said waveforms; and

(e) means for analyzing the results of said analysis by at least one of a cluster test and a waveform classifying procedure to indicate at least one of the existence of and parameters of said characteristics of said object under test.

22. A system as set forth in claim 21 further including an adaptive learning network to perform said classifying procedure.