基于RBF网络的油气管道侵入<br /> 事件识别方法研究<br />
Journal Title: Science Paper Online - Year 2006, Vol 1, Issue 3
Abstract
研究了一种用于油气管道安全分布式光纤预警系统的侵入事件识别方法。该预警系统基于Mach-Zehnder光纤干涉仪原理,沿管道同沟敷设光缆,利用其中的三条单膜光纤构成分布式微振动测试传感器。系统实时地检测管道沿途振动信号,采用基于小波包分析的“能量-状态”法获取振动信号特征,并通过RBF神经网络进行判断是否有侵入事件发生,随后对事发点进行定位。现场实验数据验证了该识别方法的有效性。
Authors and Affiliations
Shijiu Jin , Zhigang Qu, Yan Zhou
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