潍坊学院学报
濰坊學院學報
유방학원학보
JOURNAL OF WEIFANG UNIVERSITY
2012年
2期
21-23
,共3页
模糊神经网络%多传感器数据融合%输油管道腐蚀%聚类%BP网络
模糊神經網絡%多傳感器數據融閤%輸油管道腐蝕%聚類%BP網絡
모호신경망락%다전감기수거융합%수유관도부식%취류%BP망락
fuzzy neural network%multi-sensor data fusion%pipeline corrosion%clustering%BP network
系统利用三组超声传感器和漏磁传感器获取原始信息,对多路原始信息进行小波变换和频谱分析,提取时域、频域的多种不同属性参数,并从中选择与输油管道腐蚀程度相关度大的特征参数。采用模糊神经网络多传感器数据融合方法,监测海底输油管道的腐蚀程度,可以在很大程度上提高对输油管道腐蚀程度的检测精度。实验结果表明了该方法的有效性和可行性。
繫統利用三組超聲傳感器和漏磁傳感器穫取原始信息,對多路原始信息進行小波變換和頻譜分析,提取時域、頻域的多種不同屬性參數,併從中選擇與輸油管道腐蝕程度相關度大的特徵參數。採用模糊神經網絡多傳感器數據融閤方法,鑑測海底輸油管道的腐蝕程度,可以在很大程度上提高對輸油管道腐蝕程度的檢測精度。實驗結果錶明瞭該方法的有效性和可行性。
계통이용삼조초성전감기화루자전감기획취원시신식,대다로원시신식진행소파변환화빈보분석,제취시역、빈역적다충불동속성삼수,병종중선택여수유관도부식정도상관도대적특정삼수。채용모호신경망락다전감기수거융합방법,감측해저수유관도적부식정도,가이재흔대정도상제고대수유관도부식정도적검측정도。실험결과표명료해방법적유효성화가행성。
System uses three ultrasonic sensors and flux leakage sensors to obtain the original information,the multiple original information under wavelet transform and spectrum analysis to extract a variety of parameters with different attributes in time domain and frequency domain,and to select the major characteristic parameters which have large degree correlation with oil pipeline corrosion.Using the fuzzy neural network multi-sensor data fusion method to monitor undersea pipeline corrosion,submarine pipeline corrosion inspection system can largely improve the detection accuracy of pipeline corrosion.Experimental results show the effectiveness and feasibility of the method.
