基于K-L变换的支持向量机在汽轮机故障诊断中的应用

Application of Support Vector Machine Based on K-L Transform in Turbine Fault Diagnosis

支持向量机应用于故障诊断是近年来研究的热点,在支持向量机算法的基础上,以汽轮机故障为例,引入了K-L变换对故障特征进行提取。结果表明,经K-L变换后的支持向量机算法能够保证故障信息的完整性,有效识别临界故障状态,提高了故障的分类精度,扩展了支持向量机的应用范畴。

The application of support vector machine in fault diagnosis is the research hotspots in recent years. This paper first researches the algorithm of support vector machine, and introduces K - L transform method to extract the characteristic of the diagnosis of turbine. The result indicates that the algorithm of support vector machine based on K - L transform can ensure the integrality of diagnosis characteristic, and effectively recognize the critical diagnosis, which improves the precision of classification and extends thee application bound of support vector machine.