SVM模式识别技术及在机械故障诊断中的应用进展

Pattern Recognition Based on Support Vector Machine and Its Application in Fault Diagnosis

支持向量机(Support Vector Machines,SVM)是一种基于统计学习理论的新型机器学习方法,对小样本决策具有较好的学习推广性。为在机械故障诊断中更好地运用该方法,从基于支持向量机理论的模式识别技术和机械故障诊断中应用两方面,综述了近年来支持向量机国内外研究应用现状,分析了技术特点、存在问题、解决方案及其在机械工程领域应用前景。

Support vector machine （SVM） is a new general machine learning method based on the Statistical Learning Theory. It exhibits good generalization characteristics when fault samples are few. The recent developments of support vector machine are reviewed and some new progresses in fault diagnosis are introduced. Some key techniques, unsolved problems, and the prospect of engineering applications are discussed in detail.