基于VMD的广义三次互相关管道泄漏定位检测OACSTPCD
Generalized third cross-correlation pipeline leakage location detection based on VMD
针对天然气管道泄漏检测声波定位技术中,二次互相关时延估计算法存在较大误差的问题,提出了一种基于变分模态分解(VMD)结合广义三次互相关的时延估计算法.该方法首先利用VMD算法对两路信号进行分解并重构信号;其次,在二次互相关的基础上再进行一次相关,并在互相关算法的峰值检测阶段引入希尔伯特变换(HT),对峰值进行尖锐化处理,成为一种新型的广义三次互相关时延估计算法.通过对平台搭建的油气管道泄漏检测系统采集数据进行模拟试验,分析了各算法的精度.试验表明,相较于二次互相关,改进广义三次互相关时延估计算法定位平均精度有明显的提升,有着更高的精度和更好的抗噪性能,在天然气管道泄漏定位方面有着更广泛的应用前景.
Considering the problem of presence of relatively big error with second cross-correlation time delay estimation algorithm in the acoustic location technology for gas pipeline leak detection,a delay estimation algorithm based on variational mode decomposition(VMD)combined with generalized third cross-correlation was proposed.Firstly,VMD algorithm was used to decompose the two signals and reconstruct the signals.Secondly,a correlation was carried out again on the basis of the second cross-correlation,and Hilbert transform(HT)was introduced in the peak detection stage of the cross-correlation algorithm to sharpen the peak value,which becomes a new generalized third cross-correlation delay estimation method.Through the simulation experiment on the data collected by the oil and gas pipeline leakage detection system built for the platform,the accuracy of each algorithm was analyzed.Experimental results show that compared with second cross-correlation,the improved generalized third cross-correlation delay estimation algorithm has significantly improved positioning average accuracy,has higher accuracy and better anti-noise performance,and has a wider application prospect in gas pipeline leakage locating.
王冬梅;童影力;何壮;路敬祎
东北石油大学 电气信息工程学院,黑龙江大庆 163318||东北石油大学 三亚海洋油气研究院,海南三亚 572024东北石油大学 电气信息工程学院,黑龙江大庆 163318||东北石油大学 三亚海洋油气研究院,海南三亚 572024||东北石油大学 人工智能能源研究院,黑龙江大庆 163318东北石油大学 电气信息工程学院,黑龙江大庆 163318||东北石油大学 三亚海洋油气研究院,海南三亚 572024||东北石油大学 人工智能能源研究院,黑龙江大庆 163318||黑龙江省网络化与智能控制重点实验室,黑龙江大庆 163318
机械工程
管道泄漏检测变分模态分解广义三次互相关希尔伯特变换(HT)
pipe leakage detectionvariational mode decomposition(VMD)generalized third cross-correlationHilbert transform(HT)
《压力容器》 2024 (002)
72-80 / 9
国家自然科学基金(62103096);海南省自然科学基金(623MS071);教育部"春晖计划"科研合作项目(HZKY20220314)
评论