The results from the experiments prove that the SVM method has a good classification ability and high efficiency for multi-fault classification in mechanical systems, even for the cases without preprocessing of the original signal.
结果表明 ,该方法具有很好的分类能力和较高的计算效率 ,不需要对原始数据进行预处理就可达到满意的效果 ,可以满足在线诊断的要求 ,适合于机械故障诊断中的多故障分类。 该方法的应用 ,为故障诊断技术向智能化方向发展提供了新的途径。
参考来源 - 基于支持向量机的机械系统多故障分类方法·2,447,543篇论文数据，部分数据来源于NoteExpress
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
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