基于联合去噪方法的泄漏声源定位方法
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Localization of Sound Sources of Leakage Based on Joint Denoising Method
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    摘要:

    为了在水下含噪信号中提取管道泄漏产生的气泡声学信号并进行泄漏源定位,提出基于联合去噪方法的泄漏声源定位方法。提出改进的灰狼优化算法,能够更快更优地寻找变分模态分解(Variational Mode Decomposition,VMD)的最优参数;再提出结合参数优化的VMD算法和小波去噪算法的联合去噪方法,对水下泄漏信号进行去噪处理。为验证所提方法在实际水下环境存在水流噪声时的去噪效果,设计水下泄漏噪声干扰试验。结果表明,该方法可有效去除原始信号的噪声,最终完成信号时差的求取和泄漏源的定位。

    Abstract:

    In order to extract the underwater acoustic signal generated by the pipeline leakage and locate the leakage source in noisy signals, a method of locating the leakage sound source based on a joint denoising method is proposed. An improved grey wolf optimization algorithm is proposed, which can quickly and optimally find the optimal parameters of the Variational Mode Decomposition (VMD). A joint denoising method combining VMD algorithm with parameter optimization and wavelet denoising algorithm is proposed to denoise the underwater leakage signals. To verify the denoising effect of the proposed method in actual underwater environments with water flow noise, an underwater leakage noise interference test is designed. The results show that the proposed method can effectively remove the noise of the original signal, and the signal time difference can be obtained and the leakage source can be located.

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吴奇兵,李豪杰,陈泽光,李文涛,江毅,刘可扬,陈明新,蔡宝平,葛伟凤.基于联合去噪方法的泄漏声源定位方法[J].中国海洋平台,2024,(05):29-38

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  • 在线发布日期: 2024-10-25
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