2021年 03期

摘要(Abstract)：

为了改善现代工业系统故障检测和诊断的性能,提出一种基于主成分分析-孪生支持向量机挖掘的工业系统故障监测方法;采用多元统计的主成分分析方法对涉及的复杂故障变量进行降维,并对提取的主要故障变量进行判断,完成故障检测;将孪生支持向量机引入到故障类型的识别过程,结合主成分分析方法进行系统监测。结果表明,与加权K近邻、主成分分析-K近邻和主成分分析-支持向量机3种方法相比较,所提出的方法识别更快,准确率较高。

关键词(KeyWords)： 工业系统;故障识别;主成分分析;孪生支持向量机;数据降维

基金项目(Foundation): 国家自然科学基金项目(51705289);; 山东省重点研发计划项目(2019GGX104101);; 山东大学教育教学改革研究项目(2019Y112)

作者(Author): 朱振杰,杜付鑫,杨旺功

DOI: 10.13349/j.cnki.jdxbn.20201204.001

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