| 基于SVM—ANN混合模型的某型舰炮武器随动系统故障诊断研究 |
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| 引用本文： | 连军强,焦自平,任挺.基于SVM—ANN混合模型的某型舰炮武器随动系统故障诊断研究[J].舰船电子工程,2008,28(9). |
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| 作者姓名： | 连军强 焦自平 任挺 |
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| 作者单位： | 海军工程大学兵器工程系,武汉,430033 |
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| 摘 要： | 支持向量机和人_T神经网络是在故障诊断方面比较常用的两种方法.针对支持向量机和人工神经网络在故障诊断方面的优势和不足,提出了一种基于SVM-ANN混合模型的故障诊断方法,并将其应用在某型舰炮武器随动系统的故障诊断中,该方法具有诊断速度快、诊断精度高等优点.
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| 关 键 词： | 舰炮 随动系统 支持向量机 神经网络 |
Research on Fault Diagnosis of Servo System of Naval Gun Based on SVM-ANN Hybrid Model |
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| Lian Junqiang,Jiao Ziping,Ren Ting.Research on Fault Diagnosis of Servo System of Naval Gun Based on SVM-ANN Hybrid Model[J].Ship Electronic Engineering,2008,28(9). |
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| Authors: | Lian Junqiang Jiao Ziping Ren Ting |
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| Institution: | Lian Junqiang Jiao Ziping Ren Ting(Dept.of Weaponry Eng.,Naval Univ.of Engineering,Wuhan 430033) |
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| Abstract: | Support vector machine(SVM) and artificial neural network(ANN) are two kinds of useful fault diagnosis methods.In this text.SVM-ANN hybrid model is provided.with consider of all hands of ANN and SVM.It is used in fault diagnosis of servo system of naval gun.After experiment.it is proved a high speed and high accurrency method in fault diagnosis. |
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| Keywords: | naval gun servo system SVM ANN |
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