基于小波变换的输油输气管线振动信号自动辨识  

Automatic Identification of Vibration Signals in Oil and Gas Pipelines Based on Wavelet Transform

作　　者：郑超 赵宏亮 ZHENG Chao;ZHAO Hong-liang(Yan'an Jiude Safety Emergency Technology Co.,Ltd.,Yan'an 716000 China)

机构地区：[1]延安九德安全应急科技有限公司,陕西延安716000

出　　处：《自动化技术与应用》2024年第12期66-70,共5页Techniques of Automation and Applications

基　　金：陕西省社会科学基金项目(09E002)。

摘　　要：受到输油输气管线光纤周界振动信号分布环境变量差异影响,传统信号辨识方法在不同变量环境下无法实现多类型噪声滤除效果统一,导致部分振动信号辨识偏差增大,难以为管线状态分析提供准确依据。为了解决局部环境变量差异造成的噪声滤除偏差问题,引入小波变换对其辨识过程进行全局参量与变量优化。打破传统辨识机制,首先基于小波变换对输油输气管线光纤周界振动信号进行降噪处理;然后对输油输气管线光纤周界振动信号进行二次小波变换处理;最后完成周界振动信号防护特征的小波变换提取与辨识。通过与比对方法的数据测试,结果表明:提出辨识方法具有辨识精度高、稳定性好、辨识结果可信度高的特点,能够有效解决现阶段输油输气管线周界振动信号辨识问题。Affected by the differences in environmental variables in the distribution of vibration signals around the fiber optic perimeter of oil and gas pipelines,traditional signal identification methods cannot achieve unified filtering effects for multiple types of noise in different variable environments,resulting in an increase in the identification deviation of some vibration signals and difficulty in providing accurate basis for pipeline state analysis.In order to solve the problem of noise filtering deviation caused by the local environmental variables difference,the wavelet transform is introduced to optimize the global parameters and variables of the identification process.To break the traditional identification mechanism,the noise reduction of the fiber perimeter vibration signal from the wavelet transform,the second wavelet vibration signal and the wavelet transform of the perimeter vibration signal protection feature.Through data testing with comparison methods,the results show that the proposed identification method has the characteristics of high identification accuracy,good stability,and high reliability of identification results,which can effectively solve the problem of identifying vibration signals around oil and gas pipelines at present.

关 键 词：小波变换 输油输气管线 光纤周界防护 振动信号辨识 

分 类 号：TP391.42[自动化与计算机技术—计算机应用技术]