To solve the problem of lack of fault engine sample, support vector machines, which is a method based on small sample theory is applied.

针对这一缺陷，将基于小样本理论的支持向量机学习方法应用到发动机的故障诊断中。

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Compared with statistical theory, statistical learning theory focuses on the machine learning of small sample size and can trade off between the complexity of models and generalization performance.

与传统统计学相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。

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Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.

支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。

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