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JACIII Vol.26 No.6 pp. 1053-1060
doi: 10.20965/jaciii.2022.p1053
(2022)

Paper:

Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing

Jian Tang*,†, Wenxiu Yu*, Guoxin Zhao*, Xiangdong Jiao**, and Xuepeng Ding***

*School of Information Engineering, Beijing Institute of Petrochemical Technology
No.19 Qingyuan North Road, Daxing District, Beijing 102617, China

**School of Mechanical Engineering, Beijing Institute of Petrochemical Technology
No.19 Qingyuan North Road, Daxing District, Beijing 102617, China

***MCC Testing Certification Co., Ltd.
33 Xitucheng Road, Haidian District, Beijing 100088, China

Corresponding author

Received:
March 14, 2022
Accepted:
September 2, 2022
Published:
November 20, 2022
Keywords:
longdistance pipeline, ultrasonic echo, signal processing, higher-order spectrum, bispectrum dimensionality reduction
Abstract
Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing

Detailed flowchart of algorithm

Processing ultrasonic echo signals to obtain high-precision residual thickness information of the pipeline wall is the key to nondestructive testing of corrosion of a long-distance pipeline. The traditional power spectrum estimation method assumes that an analyzed echo signal is Gaussian, and the useful information is insufficiently extracted, which leads to errors in the processing results. In this paper, to solve this problem, the bispectrum, which requires the least amount of computation in higher-order spectral estimation, is proposed to process an echo signal with a non-minimum phase and non-Gaussian characteristics. The bispectrum is projected onto a one-dimensional frequency space using the dimensionality reduction method, and one-dimensional diagonal slices of the bispectrum are extracted to analyze the characteristics of the echo signal, which significantly improves the intuitiveness of data processing. The experimental results show that the bispectrum dimensionality reduction method has high accuracy in processing ultrasonic echo signals, and the relative error of the residua wall thickness is below 2%. A C-scan image displaying the shape, size, depth, and other characteristics of pipeline corrosion obtained by the proposed method is much better than that using the traditional power spectrum estimation method. Therefore, the proposed method is suitable for nondestructive testing of corrosion of long-distance pipelines.

Cite this article as:
J. Tang, W. Yu, G. Zhao, X. Jiao, and X. Ding, “Application of Bispectrum Dimensionality Reduction Method in Ultrasonic Echo Signal Processing,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.6, pp. 1053-1060, 2022.
Data files:
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Last updated on Dec. 01, 2022