首先分析管道泄漏檢測(cè)的基本原理,并應(yīng)用LabVIEW分析單傳感器在泄漏管道不同位置拾取的泄漏信號(hào)的時(shí)頻域特征,以所提取時(shí)頻域特征指標(biāo)來(lái)構(gòu)造人工神經(jīng)網(wǎng)絡(luò)的輸入矩陣,
建立了能對(duì)管道泄漏狀況進(jìn)行分析檢測(cè)定位的人工神經(jīng)網(wǎng)絡(luò),實(shí)現(xiàn)了管道泄漏檢測(cè)的單傳感器定位。模擬泄漏實(shí)驗(yàn)和在PC 機(jī)上進(jìn)行網(wǎng)絡(luò)仿真表明該方法是有效的。
關(guān)鍵詞:泄漏檢測(cè);管道;信號(hào)處理;傳感器
Abstract : The principle of leakage detection of pipelines was introduced , and the characteristics of the leakage signals in time and frequency domains collected with single sensor in different positions of pipelines were analyzed with LabVIEW. The artifi2
cial neural network (ANN) with the input matrix composed of the characters of stress was established to detect and localize the leakage in pipelines. Simulating experiment showed the effectiveness of the method.
Keywords :Leakage detection ; Pipeline ; Signal processing ; Sensor