基于NWTD-WP算法的天然气管道球的信号特征提取研究
Lingxia Yang1,2, Shuxun Li1,2, Zhihui Wang1,2
1School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究引入了一种新的NWTD-WP算法,用于检测大型天然气管道球的内部泄漏. 该算法有效地从噪音信号中提取特征,提高检测准确度.
科学领域:
- 工程 工程师 工程师 工程师
- 信号处理 信号处理
- 声学 声学 在声学方面
背景情况:
- 管道完整性对于天然气运输至关重要.
- 大直径球的内部泄漏带来了重大的安全和经济风险.
- 背景噪声会干扰泄漏点的准确检测和定位.
研究的目的:
- 开发一种先进的特征提取算法,用于在大直径管道球的内部泄漏检测.
- 在管道监控的信号处理中克服传统降噪技术的局限性.
主要方法:
- 提出了NWTD-WP算法,将波束包 (WP) 算法与改进的两参数值量化函数集成在一起.
- 评估了算法的性能,从低信号噪声比 (SNR) 信号中提取特征.
- 与传统的软硬值方法相比,对值的有效性进行了比较.
主要成果:
- WP算法证明了门泄漏信号的有效特征提取.
- 改进的值量化功能成功重建了信号,避免了不连续性和伪吉布斯现象.
- 该NWTD-WP算法在低SNR信号的无声化和特征提取方面明显优于传统方法.
结论:
- 该NWTD-WP算法是有效的分析内部泄漏信号的大直径管道球.
- 该方法对安全振动的实验室研究和缩小模型泄漏检测有希望.
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