基于VMD和RBF的舰船管路泄漏识别和定位  

Warship Pipeline Leakage Identification and Location Based on VMD and RBF

作　　者：苏文明[1] 柴凯 SU Wenming;CHAI Kai(Navigation College,Jiangsu Maritime Institute,Nanjing 211170,China;Naval University of Engineering,Collcge of Naval Architecture and Ocean,Wuhan 430033,China)

机构地区：[1]江苏海事职业技术学院航海技术学院,南京211170 [2]海军工程大学,舰船与海洋学院,武汉430033

出　　处：《船舶工程》2020年第10期105-112,共8页Ship Engineering

基　　金：江苏省高等教育教学改革课(2019JSJG401);江苏海事职业技术学院千帆人才工程(201840);国家自然科学基金(51679245,51579242,51509253);湖北省自然科学基金(2018CFB182)。

摘　　要：针对工作环境恶劣、维护保养不便的,舰船管路难以迅速定位的泄漏点及对其进行的损害管制,提出了一种基于VMD和RBF的舰船管路泄漏识别和定位的方法。对管路泄漏产生的空化现象、湍流和流体与管路的摩擦进行分析,研究影响泄漏产生激励的因素;提出一种基于变分模态分解(VMD)与径向基函数(RBF)神经网络的管路泄漏识别和定位方法,通过VMD得到有效分量的中心频率和能量值分别构造特征向量,输入RBF神经网络,以达到泄漏识别和定位的目的;模拟舰船环境,搭建泄漏管路试验平台,分析泄漏管路不同工况下的振动信号,并对RBF神经网络的诊断准确率进行验证。实测舰船管路故障信号分析表明,泄漏识别的准确率为90%,泄漏定位的准确率为87.5%。In view of the difficulty in locating the leakage point and controlling the damage in the warship pipeline with bad working environment and inconvenient maintenance, a method of identifying and locating the leakage point in warship pipeline based on VMD-RBF is proposed. The cavitation phenomenon, turbulence and friction between fluid and pipeline caused by leakage fault are analyzed, and the factors influencing the excitation of pipeline leakage are studied. A pipeline leakage identification and location method based on variational mode decomposition(VMD) and radial basis function(RBF) neural network is proposed, and the effective component center frequency and energy value obtained by VMD are used to construct signal feature vectors, which are input into RBF neural network to achieve the purpose of leakage identification and location. The test platform of leakage pipeline is built to simulate the ship environment, and the vibration signals of leakage pipeline under different conditions are analyzed, and the diagnostic accuracy of RBF neural network is verified. The analysis of measured pipeline leakage fault signals shows that the accuracy rate of leakage identification is 90% and that of leakage location is 87.5%.

关 键 词：舰船管路 泄漏 变分模态分解 径向基函数 定位识别 

分 类 号：TN911.7[电子电信—通信与信息系统] TH165.3[电子电信—信息与通信工程]