Temperature compensation in wave-based damage detection systems

Patent metadata

Field	Value
Publication number	US-10324068-B2
Application number	US-201313945766-A
Country	US
Kind code	B2
Filing date	Jul 18, 2013
Priority date	Jul 19, 2012
Publication date	Jun 18, 2019
Grant date	Jun 18, 2019

Abstract

A method performed by a processing device, the method comprising: obtaining first waveform data indicative of traversal of a first signal through a structure at a first time; applying a scale transform to the first waveform data and the second waveform data; computing, by the processing device and based on applying the scale transform, a scale-cross correlation function that promotes identification of scaling behavior between the first waveform data and the second waveform data; performing one or more of: computing, by the processing device and based on the scale-cross correlation function, a scale factor for the first waveform data and the second waveform data; and computing, by the processing device and based on the scale-cross correlation function, a scale invariant correlation coefficient between the first waveform data and the second waveform data.

First claim

What is claimed is:

1. A method for detecting an anomaly in a physical structure, the method comprising:
causing ultrasonic transmission, through and across a wall or boundaries of a physical structure, of a first signal comprising a first guided wave, and a second signal comprising a second guided wave;
obtaining a first sequence of data representing a traversal of the first signal through and across the wall, plate, or boundary of the physical structure at a first time, wherein a first ambient temperature is associated with the structure at the first time;
obtaining a second sequence of data representing a traversal of the second signal through and across the wall or boundaries of the physical structure at a second time, wherein a second ambient temperature is associated with the physical structure at the second time, the first ambient temperature differs from the second ambient temperature, and a difference between the first ambient temperature and the second ambient temperature causes a distortion of the second signal, relative to the first signal, as the second signal traverses through and across the wall or boundaries of the physical structure;
applying a scale transform to the first sequence of data and the second sequence of data;
computing, by a processing device and based on applying the scale transform, a scale-cross correlation function that promotes identification of scaling behavior between the first sequence of data and the second sequence of data, wherein a computational complexity of computing the scale cross-correlation function includes a log-linear complexity;
performing at least first operations or second operations;
with the first operations comprising:
computing, by the processing device and based on the scale-cross correlation function, a scale factor for the first sequence of data and the second sequence of data, with the scale factor being indicative of an amount of variation between the first ambient temperature and the second ambient temperature;
applying the scale factor to the second sequence of data to produce a third sequence of data representing the traversal of the second signal through and across the wall or boundaries of the physical structure at the second time, the third sequence of data representing the second signal adjusted based on the scale factor to compensate for the distortion of the second signal, relative to the first signal, that results from variation in the first ambient temperature and the second ambient temperature; and
generating a compensated signal based on the third sequence of data, the compensated signal comprising a resolution fidelity that is maintained from a resolution fidelity of the second signal;

with the second operations comprising:
computing, by the processing device and based on the scale-cross correlation function, a scale invariant correlation coefficient between the first sequence of data and the second sequence of data, with the scale invariant correlation coefficient comprising a compensation statistic for compensating for the distortion of the second signal, relative to the first signal, that results from variation in the first ambient temperature and the second ambient temperature;
applying the scale invariant correlation coefficient comprising the compensation statistic to the second sequence of data to produce the third sequence of data representing the traversal of the second signal through and across the wall or boundaries of the physical structure at the second time, the third sequence of data representing the second signal adjusted based on the compensation statistic for the distortion of the second signal, relative to the first signal, that results from variation in the first ambient temperature and the second ambient temperature; and
generating the compensated signal based on the third sequence of data, the compensated signal comprising the resolution fidelity that is maintained from the resolution fidelity of the second signal; and

detecting an anomaly in the wall or between the boundaries of the physical structure based on a comparison of the compensated signal to the first signal.

2. The computer-implemented method of claim 1 , further comprising:
detecting, based on the scale factor and the scale invariant correlation coefficient, one or more areas of structural change in the wall or between the boundaries of the physical structure.

3. The computer-implemented method of claim 2 , wherein the structural change comprises a degradation of the wall or between the boundaries of the physical structure.

4. The computer-implemented method of claim 1 , wherein the scale invariant correlation coefficient is indicative of a measure of similarity between the first sequence of data and the second sequence of data.

5. The computer-implemented method of claim 1 , wherein the scale factor comprises a value that is used as a multiplier in scaling the first sequence of data to correspond to the second sequence of data.

6. The method of claim 1 , wherein the processing device is included in a wave-based damage detection system.

7. The method of claim 1 , wherein the physical structure comprises a concrete structure.

8. The method of claim 1 , wherein the scale-cross correlation function is computed in accordance with:
x ( t )⋄ s α ( t )= S −1 { S{x ( t )} S{s ( t )}},

wherein ⋄ represents a scale cross-correlation operation;
wherein the overbar represents a complex conjugation operation;
wherein x(t) is the first sequence of data;
wherein s(t) is the second sequence of data;
wherein α includes a scaling factor on s(t);
wherein S{x(t)} is the scale domain of x(t);
wherein S{s(t)} is the scale domain of s(t); and
wherein S −1 {⋅} represents an inverse scale transform.

9. The method of claim 1 , wherein computing the scale-cross correlation function comprises:
computing a product of a scale domain of the first sequence of data and a scale domain of the second sequence of data.

10. The method of claim 1 , wherein computing the scale-cross correlation function comprises:
resampling the first sequence of data;
resampling the second sequence of data;
applying an amplification factor to the resampled first and second sequence of data; and
cross-correlating the amplified, resampled first and second sequence of data.

11. The method of claim 1 , wherein computing the scale-invariant correlation coefficient comprises:
determining an increased value of the scale cross-correlation function in a stretch domain factor, relative to other values of the scale cross-correlation function in the stretch domain factor.

12. The method of claim 1 , wherein one or more of the first signal and the second signal is an ultrasonic wave signal.

13. The method of claim 1 , wherein the physical structure comprises one or more of a pipe structure, a heating structure, one or more pipe structures in an oil refinery, one or more pipe structures in a chemical refinery, one or more pipe structures in a gas refinery, one or more natural fuse pipelines, one or more oil pipelines, one or more heating pipe structures, one or more cooling pipe structures, one or more pipe structures in a nuclear power plant, one or more pressure vessels, one or more concrete structures of a bridge, one or more concrete structures of civil infrastructure, one or more portion of an airplace, one or more portions of an aerospace vehicle, one or more portions of a submarine, and one or more metallic structures.

14. The method of claim 1 , further comprising:
identifying a maximization of the scale-cross correlation function in the stretch factor domain;
wherein computing th

Assignees

• Univ Carnegie Mellon

Inventors

• Harley Joel B
• Moura Jose M F

Classifications

• G01N29/46

  by spectral analysis, e.g. Fourier analysis {or wavelet analysis (spectral signal processing per se G06F17/14)} · CPC title

• G01N29/44 Primary

  Processing the detected response signal {, e.g. electronic circuits specially adapted therefor (digital signal processing per se G06F17/00)} · CPC title

• G01N2291/0425

  Parallel to the surface, e.g. creep waves · CPC title

• G01N29/4463

  Signal correction, e.g. distance amplitude correction [DAC], distance gain size [DGS], noise filtering · CPC title

• G01N2291/0258

  Structural degradation, e.g. fatigue of composites, ageing of oils · CPC title