Mixed-domain analysis of ultrasonic inspection data
A mixed-domain analysis method for evaluation of ultrasonic inspection data is disclosed. A return signal of an ultrasonic waveform applied to an article under inspection is received. The return signal is digitally processed to generate a mixed-domain spectrogram of the return signal. The mixed-domain spectrogram plots ranges of a frequency of the return signal, a time of flight of the return signal, and a power spectral density of the return signal. A data gate having ranges of frequency and time of flight that define an area of interest in the mixed-domain spectrogram is set. At least one of a material characteristic and an anomaly characteristic of the article under inspection is identified based on evaluating one or more time-frequency characteristics of the article under inspection in the area of interest.
1. A mixed-domain analysis method for evaluation of ultrasonic inspection data, the method comprising:
receiving a return signal of an ultrasonic waveform applied to an article under inspection;
digitally processing the return signal to generate a mixed-domain spectrogram of the return signal, where the mixed-domain spectrogram plots ranges of a frequency of the return signal, a time of flight of the return signal, and a power spectral density of the return signal;
setting a data gate having ranges of frequency and time of flight that define an area of interest in the mixed-domain spectrogram; and
identifying at least one of a material characteristic and an anomaly characteristic of the article under inspection based on evaluating one or more time-frequency characteristics of the article under inspection in the area of interest.
2. The method of claim 1 , wherein digitally processing the return signal includes using Fast-Fourier Transform analysis on windowed sections of the return signal to generate the mixed-domain spectrogram.
3. The method of claim 1 , wherein digitally processing the return signal includes identifying residuals of a plurality of waveforms of the return signal over time, and wherein the mixed-domain spectrogram is generated based on combining the residuals of the plurality of waveforms.
4. The method of claim 1 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes identifying a power spectral density feature in the area of interest.
5. The method of claim 4 , wherein the identified power spectral density feature includes a maximum power spectral density in the area of interest.
6. The method of claim 5 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a frequency corresponding to the identified maximum power spectral density.
7. The method of claim 5 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a time of flight corresponding to the identified maximum power spectral density.
8. The method of claim 5 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a bandwidth indicating a range of frequencies in which the return signal continuously produces the identified maximum power spectral density in the area of interest.
9. The method of claim 4 , wherein the identified power spectral density feature includes a power spectral density that surpasses a threshold power spectral density.
10. The method of claim 9 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a frequency at which the power spectral density surpasses the threshold power spectral density in the area of interest.
11. The method of claim 9 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a time of flight at which the power spectral density surpasses the threshold power spectral density in the area of interest.
12. The method of claim 9 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes measuring a bandwidth indicating a range of frequencies in which the return signal continuously produces the power spectral density that surpasses the threshold power spectral in the area of interest.
13. A computing system comprising:
one or more processors;
one or more storage devices holding instructions executable by the one or more processors to execute a mixed time-frequency domain ultrasonic inspection tool configured to:
receive a return signal of an ultrasonic waveform applied to an article under inspection;
digitally process the return signal to generate a mixed-domain spectrogram of the return signal, where the mixed-domain spectrogram plots ranges of a frequency of the return signal, a time of flight of the return signal, and a power spectral density of the return signal;
set a data gate having ranges of frequency and time of flight that define an area of interest in the mixed-domain spectrogram; and
identify at least one of a material characteristic and an anomaly characteristic of the article under inspection based on evaluating one or more time-frequency characteristics of the article under inspection in the area of interest.
14. The computing system of claim 13 , wherein the return signal is digitally processed using Fast-Fourier Transform (FFT) analysis on windowed sections of the return signal to generate the mixed-domain spectrogram.
15. The computing system of claim 13 , wherein digitally processing the return signal includes identifying residuals of a plurality of waveforms of the return signal over time, and wherein the mixed-domain spectrogram is generated based on combining the residuals of the plurality of waveforms.
16. The computing system of claim 13 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes identifying a maximum power spectral density in the area of interest.
17. The computing system of claim 16 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes one or more of measuring a frequency corresponding to the maximum power spectral density, measuring a time of flight corresponding to the maximum power spectral density, and measuring a bandwidth indicating a range of frequencies in which the return signal continuously produces the identified maximum power spectral density in the area of interest.
18. The computing system of claim 13 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes identifying a power spectral density that surpasses a threshold power spectral density.
19. The computing system of claim 18 , wherein evaluating one or more time-frequency characteristics of the article under inspection includes one or more of measuring a frequency at which the power spectral density surpasses the threshold power spectral density in the area of interest, measuring a time of flight at which the power spectral density surpasses the threshold power spectral density in the area of interest, and measuring a bandwidth indicating a range of frequencies in which the return signal continuously produces the power spectral density that surpasses the threshold power spectral density in the area of interest.
20. A mixed-domain analysis method for evaluation of ultrasonic inspection data, the method comprising:
receiving a return signal of an ultrasonic waveform applied to an article under inspection;
digitally processing the return signal to generate a mixed-domain spectrogram of the return signal, where the mixed-domain spectrogram plots ranges of a frequency of the return signal, a time of flight of the return signal, and a power spectral density of the return signal;
setting a data gate having ranges of frequency and time of flight that define an area of interest in the mixed-domain spectrogram; and
identifying at least one of a material characteristic and an anomaly characteristic of the article under inspection based on evaluating one or more time-frequency characteristics of the article under inspection in the area of interest, such evaluating including at least one of (1) identifying a maximum power spectral density in the area of interest and (2) identifying a power spectral density that surpasses a threshold power spectral density.