基于支持向量机的组合导航故障检测研究

Research on Integrated Navigation Fault Detection Based on Support Vector Machine

故障检测技术是用于提高系统安全性可靠性的技术,其在组合导航领域中发挥着重要作用,支持向量机(Support Vector Machine,SVM)作为一种分类器可应用于各种故障分类技术引起广泛的关注。介绍了支持向量机原理,并详细介绍了应用于组合导航故障检测的支持向量机方法,包括基于最小二乘支持向量机法、基于一类支持向量机法、基于向量回归法、基于聚类支持向量机法以及基于二叉树支持向量机法等,分别介绍了各自的原理和特点。介绍了目前方法存在的问题并对未来的发展趋势进行了展望。

Fault detection technology is used to improve the security and reliability of the system.It plays an important role in the field of integrated navigation.As a classifier,support vector machine(SVM)can be applied to various fault classification technologies,which has attracted wide attention.The principle of support vector machine is introduced,and the method of support vector machine applied to integrated navigation fault detection is introduced in detail,including based on least squares support vector machine method,based on the type of support vector machine method,based on the vector regression method,based on clustering support vector machine method,based on binary tree support vector machine method,etc.,their principles and characteristics are introduced respectively.The existing problems of current methods are introduced and the future development trend is prospected.