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基于模糊粗糙集和支持向量机的化工过程故障诊断

DOI: 10.13195/j.kzyjc.2014.0246, PP. 353-356

Keywords: 模糊粗糙集,支持向量机,TEP过程,故障诊断

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Abstract:

为解决化工过程故障不易诊断的问题,提出一种基于模糊粗糙集特征提取和支持向量机的故障诊断方法.首先,利用模糊粗糙集对特征信息进行提取,构筑相应的故障特征集合;然后,将故障特征集合对应的样本输入到支持向量机分类器,实现对化工过程不同故障的识别.在TEP故障诊断中的应用表明了所提出方法的有效性.

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