模糊神經网络多传感器.docVIP

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 Fuzzy neural network multisensor data fusion of submarine pipeline corrosion detection Abstract: The submarine pipeline is offshore oil field oil, natural gas important way, but because of oil pipeline across the seabed area wide service environment is complex, hidden location, usually an oil or a sensor can not obtain accurate information on pipeline corrosion, so require multiple or more sensors arranged to obtain redundant information, this issue is mainly with magnetic flux leakage and ultrasonic detection of the detection device, and the fuzzy theory with neural networks combine the information obtained on the integration of processed to obtain a more accurate and reliable information. It presents a fuzzy neural network based multi-sensor data fusion of offshore oil pipeline corrosion monitoring system. This system is a collection of multisensor data fusion and fuzzy neural network, and the advantages of adaptability, good reliability and have strong learning ability, and can improve the pipeline corrosion degree of the testing precision. This paper theoretically proved the superiority of this system. Key words: multi-sensor; data fusion; neural networks; fuzzy theory; detection 目 录 绪 论 1 1. 概述 2 1.1 海底输油管道腐蚀检测的现状 2 1.2 课题研究的意义 2 1.3 前景 3 2. 多传感器信息融合 4 2.1 引言 4 2.2 多传感器信息融合的概念和原理 4 2.2.1 多传感器信息融合的概念 4 2.2.2 多传感器信息融合原理 5 2.3 多传感器信息融合常用方法及比较 5 2.4 多传感器信息融合的新技术 6 3. 模糊神经网络 9 3.1 模糊理论 9 3.1.1 模糊概念与模糊集合 9 3.1.2 模糊推理 10 3.2 神经网络 12 3.2.1