模糊神经网络多传感器

毕业设计（论文）题目模糊神经网络多传感器数据融合的海底输油管道腐蚀检测学院(部)电子信息工程学院专业电子信息工程模糊神经网络多传感器数据融合的海底输油管道腐蚀检测摘要：海底输油管道是海上油田对石油、天然气输送的重要方式，但是由于输油管道穿越海底地域广、服役环境复杂、位置隐蔽，往往一个或一种传感器无法获取石油管道腐蚀情况的准确信息，故需要布置多个或多种传感器来获取冗余的信息，本课题主要是采用漏磁检测法和超声检测法的检测装置，并通过模糊理论同神经网络有机结合起来对所获取的信息进行融合、处理，以获取更加准确可靠的信息。故提出了一种基于模糊神经网络多传感器数据融合的海底石油管道腐蚀监测系统。该系统集合了多传感器数据融合和模糊神经网络的优点，具有适应性强、可靠性好、有很强的学习和表达能力，可以提高对输油管道腐蚀程度的检测精度。本论文在理论上证明了该系统的优越性。关键词：多传感器；数据融合；神经网络；模糊理论；检测FuzzyneuralnetworkmultisensordatafusionofsubmarinepipelinecorrosiondetectionAbstract:Thesubmarinepipelineisoffshoreoilfieldoil,naturalgasimportantway,butbecauseofoilpipelineacrosstheseabedareawideserviceenvironmentiscomplex,hiddenlocation,usuallyanoilorasensorcannotobtainaccurateinformationonpipelinecorrosion,sorequiremultipleormoresensorsarrangedtoobtainredundantinformation,thisissueismainlywithmagneticfluxleakageandultrasonicdetectionofthedetectiondevice,andthefuzzytheorywithneuralnetworkscombinetheinformationobtainedontheintegrationofprocessedtoobtainamoreaccurateandreliableinformation.Itpresentsafuzzyneuralnetworkbasedmulti-sensordatafusionofoffshoreoilpipelinecorrosionmonitoringsystem.Thissystemisacollectionofmultisensordatafusionandfuzzyneuralnetwork,andtheadvantagesofadaptability,goodreliabilityandhavestronglearningability,andcanimprovethepipelinecorrosiondegreeofthetestingprecision.Thispapertheoreticallyprovedthesuperiorityofthissystem.Keywords:multi-sensor;datafusion;neuralnetworks;fuzzytheory;detection目录绪论..............................................................................................................................................................51.概述..........................................................................................................................................................61.1海底输油管道腐蚀检测的现状.....................................................................................................61.2课题研究的意义............................................................................................................................61.3前景................................................................................................................................................72.多传感器信息融合..................................................................................................................................82.1引言................................................................................................................................................82.2多传感器信息融合的概念和原理.................................................................................................82.2.1多传感器信息融合的概念.................................................................................................82.2.2多传感器信息融合原理.....................................................................................................92.3多传感器信息融合常用方法及比较.............................................................................................92.4多传感器信息融合的新技术.......................................................................................................103.模糊神经网络........................................................................................................................................133.1模糊理论......................................................................................................................................133.1.1模糊概念与模糊集合.......................................................................................................133.1.2模糊推理..........................................................................................................................143.2神经网络......................................................................................................................................163.2.1神经网络概述...................................................................................................................163.2.2神经网络模型...................................................................................................................173.2.3反向传播模型及其学习算法...........................................................................................193.2.4神经网络的发展趋势.......................................................................................................203.3模糊神经网络..............................................................................................................................213.3.1模糊神经网络的概念.......................................................................................................213.3.2模糊神经元.......................................................................................................................213.3.3模糊神经网络的结构.......................................................................................................223.3.4模糊神经网络的发展.......................................................................................................244.检测系统的设计....................................................................................................................................254.1系统的结构及工作原理......................