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基于变量贡献率的MSPC异常识别方法

杜福洲 唐晓青

杜福洲, 唐晓青. 基于变量贡献率的MSPC异常识别方法[J]. 北京航空航天大学学报, 2012, 38(10): 1295-1299.
引用本文: 杜福洲, 唐晓青. 基于变量贡献率的MSPC异常识别方法[J]. 北京航空航天大学学报, 2012, 38(10): 1295-1299.
Du Fuzhou, Tang Xiaoqing. Method of MSPC fault detection and diagnosis based on variable contributions[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(10): 1295-1299. (in Chinese)
Citation: Du Fuzhou, Tang Xiaoqing. Method of MSPC fault detection and diagnosis based on variable contributions[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(10): 1295-1299. (in Chinese)

基于变量贡献率的MSPC异常识别方法

基金项目: 国家自然科学基金资助项目(50905010)
详细信息
  • 中图分类号: TH 165+.4

Method of MSPC fault detection and diagnosis based on variable contributions

  • 摘要: 异常识别是多元统计过程控制(MSPC, Multivariate Statistical Process Control)方法有效应用的关键.针对现有研究对历史异常信息利用的不足,综合考虑了主成分变量贡献率与重构误差变量贡献率对异常识别的影响,将两种变量贡献率进行归一化处理并求和得到综合变量贡献率;提出了一种基于综合变量贡献率的MSPC异常识别方法,并基于matlab计算平台实现了该算法.通过田纳西过程故障模式仿真及异常识别,对该方法的应用及算法有效性进行了实例验证.

     

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出版历程
  • 收稿日期:  2011-11-06
  • 网络出版日期:  2012-10-30

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