Urban hazardous chemicals pipeline leakage positioning method based on CELMD-MCKD

Yongmei Hao, Zhanghao Du, Zhixiang Xing, Juncheng Jiang, Ke Yang, Lei Ni, Xinming Yan

科研成果: 期刊稿件文献综述同行评审

10 引用 (Scopus)

摘要

Aiming at the difficulty of leak detection of urban hazardous chemical pipelines, this paper proposes a method for locating pipeline leaks based on the complementary ensemble local mean decomposition (CELMD) and maximum correlation kurtosis deconvolution (MCKD) secondary noise reduction. First, white noise with opposite sign was added to the original leak signal in pairs, and the noisy signal was decomposed to obtain a series of product functions (PF). Second, select the PF component containing the main leakage information according to the correlation coefficient, and perform the initial noise reduction. Then, the maximum correlation kurtosis deconvolution (MCKD) was used to perform secondary noise reduction on the filtered PF component; Finally, the PF component obtained after two screening was reconstructed, and the pipeline leakage location was completed by calculating the delay parameters of AE signal by cross-correlation. The experimental results show that compared with the cross-correlation method and the ELMD method, the method has higher recognition accuracy and positioning accuracy.

源语言英语
页(从-至)477-493
页数17
期刊Nondestructive Testing and Evaluation
36
5
DOI
出版状态已出版 - 2021

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