阀门泄漏故障特征量提取技术及其工程应用
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摘要
针对阀门泄漏特别是早期泄漏,其故障特征提取困难的问题,结合火力发电厂阀门前后压差明显及其特有泄漏噪声特性,发现一种具有自适应滤波功能专门针对工程应用的泄漏声发射信号除噪方法—频率鉴别、幅度鉴别和阀前阀后差值法相结合,并将该方法应用于某电厂1号机组除氧器溢流电动门泄漏检测试验。结果表明:基于该滤波去噪模块所开发的阀门泄漏故障检测系统滤波能力强,信号处理快捷、准确、可靠,可以有效应用于实际工程之中。
In the light of the problems that the fault characteristics of any leakage from a valve are difficult to be extracted,especially a leakage in its early stage,in combination with an obvious pressure difference before and after a valve operating in a thermal power plant and the specific characteristics of the leakage noise,the author found out a leakage acoustic emission denoising method functioning an adaptive wave filtering and specific to engineering applications-integrating frequency identification and amplitude identification method with the before-and-after-a-valve differential value method,and the method in question was applied in a test to inspect and test any leakage from an electrically-operated over-flow valve on a deaerator in the unit No. 1 of a power plant. It has been found that the valve leakage fault testing system thus developed based on the wave filtering and denoising module boasts a strong ability to filter waves and can quickly,accurately and reliably process signals,thus efficiently applicable for realistic engineering projects.
In the light of the problems that the fault characteristics of any leakage from a valve are difficult to be extracted,especially a leakage in its early stage,in combination with an obvious pressure difference before and after a valve operating in a thermal power plant and the specific characteristics of the leakage noise,the author found out a leakage acoustic emission denoising method functioning an adaptive wave filtering and specific to engineering applications-integrating frequency identification and amplitude identification method with the before-and-after-a-valve differential value method,and the method in question was applied in a test to inspect and test any leakage from an electrically-operated over-flow valve on a deaerator in the unit No. 1 of a power plant. It has been found that the valve leakage fault testing system thus developed based on the wave filtering and denoising module boasts a strong ability to filter waves and can quickly,accurately and reliably process signals,thus efficiently applicable for realistic engineering projects.
引文
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[14]PRATEEPASEN A,KAEWWAEWNOI W,KAEWTRAKULPONGP.Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals[J].Measurement,2011,44(2):378-384.
[15]NOIPITAK M,PRATEEPASEN A,KAEWWAEWNOI W.A relative calibration method for a valve leakage rate measurement system[J].Measurement,2011,44(1):211-218.
[2]王正勋,等.火力发电厂阀门内漏的防治对策[J].经济研究导刊,2009(30):186-201.WANG Zheng-xun ect.Theprevention countermeasures for valve leakage of Coal-fired power plants[J].Economic Research Guide,2009(30):186-201.
[3]姜亚洲.阀门内漏的声学在线监测[J].油气田地面工程,2010,29(6):98-99.JIANG Ya-zhou.Acoustic monitoring online for valve inner leakage[J].Oil-Gas field Surface Engineering,2010,29(6):98-99.
[4]方学锋,梁华,夏志敏,等.基于声发射技术的阀门泄漏在线检测方法[J].化工机械,2007,34(1):52-54,58.FANG Xue-feng,LIANG Hua,XIA Zhi-min,et al.On-line inspection and measurement methods of the leakage of valves based on the acoustic emission technology[J].Chemical Engineering&Machinery,2007,34(1):52-54,58.
[5]W.Kaewwaewnoi,A.Prateepasen,P.Kaewtrakulpong.Investigation of the relationship between internal fluid leakage through a valve and the acoustic emission generated from the leakage[J].Measurement,2010,43(2):274-282.
[6]石志标,陈向伟,张学军.声发射技术在阀门检漏中的应用[J].无损检测,2004,26(8):391-392,401.SHI Zhi-biao,CHEN Xiang-wei,ZHANG Xue-jun.The application of acoustic emission technology for valve leakage monitoring[J].Nondestructive Testing,2004,26(8):391-392,401.
[7]杨明纬.声发射检测[M].北京:机械工业出版社,2005.YANG Ming-wei.Acoustic Emission Testing[M].Beijing:China Machine Press,2005.
[8]陈玉华,刘时风,耿荣生,等.声发射信号的谱分析和相关分析[J].无损检测,2002,24(9):395-399.CHEN Yu-hua,LIU Shi-feng,GENG Rong-sheng et al.Spectral and Correlation Analysis of Acoustic Emission Signals[J].Nondestructive Testing,2002,24(9):395-399.
[9]姜常珍.信号分析与处理[M].天津:天津大学出版社,2000.JIANG Chang-zhen.Signal Analysis and Processing[M].Tianjin:Tianjin university press,2000.
[10]张建中.常用时间序列分析软件包[M].北京:气象出版社,1986.ZHANG Jian-zhong.Software packages of commonly used time series analysis[M],Beijing:China Meteorological Press,1986.
[11]施克仁,等.无损检测新技术[M].北京市:清华大学出版社,2007.SHI Ke-ren etc.New technologies of nondestructive testing[M].Beijing:Tsinghua University Press,2007.
[12]沈功田,耿荣生,等.声发射信号的参数分析方法[J].无损检测,2002,24(2):164-167.SHEN Gong-tian,GENG Rong-sheng et al.The parameters analysis method of acoustic emission signal[J].Nondestructive Testing,2002,24(2):164-167.
[13]李为杜.混凝土无损检测技术[M].上海:同济大学出版社,1989.LI Wei-du.Nondestructive testing technology of concrete[M].Shanghai:Tongji University Press,1989.
[14]PRATEEPASEN A,KAEWWAEWNOI W,KAEWTRAKULPONGP.Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals[J].Measurement,2011,44(2):378-384.
[15]NOIPITAK M,PRATEEPASEN A,KAEWWAEWNOI W.A relative calibration method for a valve leakage rate measurement system[J].Measurement,2011,44(1):211-218.