Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence

Rui Gongzhang, Minghui Li, Bo Xiao, Timothy Lardner, Anthony Gachagan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)

Abstract

This paper presents a robust frequency diversity based algorithm for clutter reduction in ultrasonic A-scan waveforms. The performance of conventional spectral-temporal techniques like Split Spectrum Processing (SSP) is highly dependent on the parameter selection, especially when the signal to noise ratio (SNR) is low. Although spatial beamforming offers noise reduction with less sensitivity to parameter variation, phased array techniques are not always available. The proposed algorithm first selects an ascending series of frequency bands. A signal is reconstructed for each selected band in which a defect is present when all frequency components are in uniform sign. Combining all reconstructed signals through averaging gives a probability profile of potential defect position. To facilitate data collection and validate the proposed algorithm, Full Matrix Capture is applied on the austenitic steel and high nickel alloy (HNA) samples with 5MHz transducer arrays. When processing A-scan signals with unrefined parameters, the proposed algorithm enhances SNR by 20dB for both samples and consequently, defects are more visible in B-scan images created from the large amount of A-scan traces. Importantly, the proposed algorithm is considered robust, while SSP is shown to fail on the austenitic steel data and achieves less SNR enhancement on the HNA data.
LanguageEnglish
Title of host publicationProceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing
EditorsDale E. Chimenti, Leonard J. Bond, Donald O. Thompson
Place of PublicationMelville
Volume33A
DOIs
Publication statusPublished - 2013
Event40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing - Baltimore, United States
Duration: 21 Jul 201326 Jul 2013

Publication series

NameAIP Conference Proceedings
PublisherAIP
Volume1581

Conference

Conference40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing
CountryUnited States
CityBaltimore
Period21/07/1326/07/13

Fingerprint

Noise abatement
Ultrasonics
Signal to noise ratio
Austenitic steel
Nickel alloys
Defects
Processing
Beamforming
Frequency bands
Transducers

Keywords

  • robust
  • frequency diversity
  • algorithm
  • clutter noise
  • reduction
  • multiple sub-spectrum phase coherence
  • ultrasonic signals

Cite this

Gongzhang, R., Li, M., Xiao, B., Lardner, T., & Gachagan, A. (2013). Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence. In D. E. Chimenti, L. J. Bond, & D. O. Thompson (Eds.), Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing (Vol. 33A). (AIP Conference Proceedings; Vol. 1581). Melville. https://doi.org/10.1063/1.4865062
Gongzhang, Rui ; Li, Minghui ; Xiao, Bo ; Lardner, Timothy ; Gachagan, Anthony. / Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence. Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing. editor / Dale E. Chimenti ; Leonard J. Bond ; Donald O. Thompson. Vol. 33A Melville, 2013. (AIP Conference Proceedings).
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abstract = "This paper presents a robust frequency diversity based algorithm for clutter reduction in ultrasonic A-scan waveforms. The performance of conventional spectral-temporal techniques like Split Spectrum Processing (SSP) is highly dependent on the parameter selection, especially when the signal to noise ratio (SNR) is low. Although spatial beamforming offers noise reduction with less sensitivity to parameter variation, phased array techniques are not always available. The proposed algorithm first selects an ascending series of frequency bands. A signal is reconstructed for each selected band in which a defect is present when all frequency components are in uniform sign. Combining all reconstructed signals through averaging gives a probability profile of potential defect position. To facilitate data collection and validate the proposed algorithm, Full Matrix Capture is applied on the austenitic steel and high nickel alloy (HNA) samples with 5MHz transducer arrays. When processing A-scan signals with unrefined parameters, the proposed algorithm enhances SNR by 20dB for both samples and consequently, defects are more visible in B-scan images created from the large amount of A-scan traces. Importantly, the proposed algorithm is considered robust, while SSP is shown to fail on the austenitic steel data and achieves less SNR enhancement on the HNA data.",
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author = "Rui Gongzhang and Minghui Li and Bo Xiao and Timothy Lardner and Anthony Gachagan",
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Gongzhang, R, Li, M, Xiao, B, Lardner, T & Gachagan, A 2013, Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence. in DE Chimenti, LJ Bond & DO Thompson (eds), Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing. vol. 33A, AIP Conference Proceedings, vol. 1581, Melville, 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing, Baltimore, United States, 21/07/13. https://doi.org/10.1063/1.4865062

Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence. / Gongzhang, Rui; Li, Minghui; Xiao, Bo; Lardner, Timothy; Gachagan, Anthony.

Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing. ed. / Dale E. Chimenti; Leonard J. Bond; Donald O. Thompson. Vol. 33A Melville, 2013. (AIP Conference Proceedings; Vol. 1581).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence

AU - Gongzhang, Rui

AU - Li, Minghui

AU - Xiao, Bo

AU - Lardner, Timothy

AU - Gachagan, Anthony

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N2 - This paper presents a robust frequency diversity based algorithm for clutter reduction in ultrasonic A-scan waveforms. The performance of conventional spectral-temporal techniques like Split Spectrum Processing (SSP) is highly dependent on the parameter selection, especially when the signal to noise ratio (SNR) is low. Although spatial beamforming offers noise reduction with less sensitivity to parameter variation, phased array techniques are not always available. The proposed algorithm first selects an ascending series of frequency bands. A signal is reconstructed for each selected band in which a defect is present when all frequency components are in uniform sign. Combining all reconstructed signals through averaging gives a probability profile of potential defect position. To facilitate data collection and validate the proposed algorithm, Full Matrix Capture is applied on the austenitic steel and high nickel alloy (HNA) samples with 5MHz transducer arrays. When processing A-scan signals with unrefined parameters, the proposed algorithm enhances SNR by 20dB for both samples and consequently, defects are more visible in B-scan images created from the large amount of A-scan traces. Importantly, the proposed algorithm is considered robust, while SSP is shown to fail on the austenitic steel data and achieves less SNR enhancement on the HNA data.

AB - This paper presents a robust frequency diversity based algorithm for clutter reduction in ultrasonic A-scan waveforms. The performance of conventional spectral-temporal techniques like Split Spectrum Processing (SSP) is highly dependent on the parameter selection, especially when the signal to noise ratio (SNR) is low. Although spatial beamforming offers noise reduction with less sensitivity to parameter variation, phased array techniques are not always available. The proposed algorithm first selects an ascending series of frequency bands. A signal is reconstructed for each selected band in which a defect is present when all frequency components are in uniform sign. Combining all reconstructed signals through averaging gives a probability profile of potential defect position. To facilitate data collection and validate the proposed algorithm, Full Matrix Capture is applied on the austenitic steel and high nickel alloy (HNA) samples with 5MHz transducer arrays. When processing A-scan signals with unrefined parameters, the proposed algorithm enhances SNR by 20dB for both samples and consequently, defects are more visible in B-scan images created from the large amount of A-scan traces. Importantly, the proposed algorithm is considered robust, while SSP is shown to fail on the austenitic steel data and achieves less SNR enhancement on the HNA data.

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BT - Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing

A2 - Chimenti, Dale E.

A2 - Bond, Leonard J.

A2 - Thompson, Donald O.

CY - Melville

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Gongzhang R, Li M, Xiao B, Lardner T, Gachagan A. Robust frequency diversity based algorithm for clutter noise reduction of ultrasonic signals using multiple sub-spectrum phase coherence. In Chimenti DE, Bond LJ, Thompson DO, editors, Proceedings of the 40th Annual Review of Progress in Quantitative Nondestructive Evaluation: Incorporating the 10th International Conference on Barkhausen Noise and Micromagnetic Testing. Vol. 33A. Melville. 2013. (AIP Conference Proceedings). https://doi.org/10.1063/1.4865062