基于正负区间统计分析的信号趋势项自适应消除方法  

An adaptive trend elimination method based on statistical analysis of positive and negative intervals of a signal

作　　者：范国轩 吴海燕[1] 林伟国[1] 张磊[1] 陈晓磊 FAN GuoXuan;WU HaiYan;LIN WeiGuo;ZHANG Lei;CHEN XiaoLei(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《北京化工大学学报（自然科学版）》2024年第5期77-85,共9页Journal of Beijing University of Chemical Technology(Natural Science Edition)

基　　金：国家自然科学基金(61973023)。

摘　　要：趋势项的存在会严重影响信号异常检测方法的准确性,因此需要在信号预处理过程中进行消除。高通滤波法是一种简单且有效的趋势项去除方法,应用最为广泛,但其参数选择基于经验,无法实现实时最优,因此方法的鲁棒性和泛化性差。以高通滤波法为基础,首先提出了信号正负区间统计分布曲线的概念,并基于这一概念引出了趋势项判断准则。在此基础上,设计了高通滤波器截止频率的实时优化选择方法以实现信号趋势的自适应消除,并对所提方法的影响要素进行分析。结合实际应用问题改进了算法,提高了迭代收敛速度,减少了计算量。最终利用石油管道泄漏监测问题中的压力信号数据证明了所提方法可以获得实时最优的滤波效果,实现趋势项的消除,且预设参数简单,算法计算量小。The signal trend term can seriously affect the accuracy of signal anomaly detection methods.Therefore,it is very important to eliminate the trend term in the process of signal preprocessing.High-pass filtering has been proved to be a simple and efficient trend term elimination method.In this work,the positive and negative interval statistical distribution of the signal is first obtained.Then,a judgment criterion for the trend item is proposed.On this basis,a real-time optimal selection method of the cut-off frequency of a high-pass filter is designed to realize the adaptive elimination of the signal trend,and the factors influencing the efficacy of the proposed method are ana-lyzed.The algorithm was then improved to give the high convergence speed and reduced calculation amount required for practical application.Finally,the proposed method was employed using the pressure signal data in a pipeline leakage monitoring problem.The experimental results show that this method can realize real-time optimal selection of the cut-off frequency,and the calculation quantity of the algorithm is small.

关 键 词：趋势项消除 信号预处理 高通滤波 管道泄漏监测 截止频率 

分 类 号：TE832[石油与天然气工程—油气储运工程]