首页> 外文会议>International Conference on Electronic Measurement amp; Instruments(ICEMI'2005) vol.4; 20050816-18; Beijing(CN) >Corrosion Detection System for Submarin Oil Transportation Pipelines Based on Multi-sensor Data Fusion by Fuzzy Neural Network
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Corrosion Detection System for Submarin Oil Transportation Pipelines Based on Multi-sensor Data Fusion by Fuzzy Neural Network

机译:基于模糊神经网络的多传感器数据融合的潜艇输油管道腐蚀检测系统

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摘要

A system to detect the corrosion of submarine oil pipeline is introduced in this paper. It gets the original data by 3 groups ultrasonic sensors and flux leakage sensors. The fuzzy neural network is used to do multisensor data fusion to detect the corrosion degrees of submarin oil transportation pipelines. The experimental results show that this method is effective and feasible.
机译:介绍了一种检测海底输油管道腐蚀的系统。它通过3组超声波传感器和磁通泄漏传感器获取原始数据。模糊神经网络用于进行多传感器数据融合,以检测潜艇输油管道的腐蚀程度。实验结果表明该方法是有效可行的。

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