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联合指标独立成分分析在多变量过程故障诊断中的应用

樊继聪 王友清 秦泗钊

樊继聪, 王友清, 秦泗钊. 联合指标独立成分分析在多变量过程故障诊断中的应用. 自动化学报, 2013, 39(5): 494-501. doi: 10.3724/SP.J.1004.2013.00494
引用本文: 樊继聪, 王友清, 秦泗钊. 联合指标独立成分分析在多变量过程故障诊断中的应用. 自动化学报, 2013, 39(5): 494-501. doi: 10.3724/SP.J.1004.2013.00494
FAN Ji-Cong, WANG You-Qing, QIN S. Joe. Combined Indices for ICA and Their Applications to Multivariate Process Fault Diagnosis. ACTA AUTOMATICA SINICA, 2013, 39(5): 494-501. doi: 10.3724/SP.J.1004.2013.00494
Citation: FAN Ji-Cong, WANG You-Qing, QIN S. Joe. Combined Indices for ICA and Their Applications to Multivariate Process Fault Diagnosis. ACTA AUTOMATICA SINICA, 2013, 39(5): 494-501. doi: 10.3724/SP.J.1004.2013.00494

联合指标独立成分分析在多变量过程故障诊断中的应用

doi: 10.3724/SP.J.1004.2013.00494
详细信息
    通讯作者:

    王友清

Combined Indices for ICA and Their Applications to Multivariate Process Fault Diagnosis

  • 摘要: 作为主成分分析(Principal component analysis, PCA)和因子分析(Factor analysis, FA)的扩展, 独立成分分析(Independent component analysis, ICA)已经在多变量过程故障诊断中得到了很多的应用和发展. ICA的监测指标通常有三个(I2、Ie2和SPE), 使用起来不如一个指标方便, 且分散了故障信息.本文利用三个指标的加权和, 提出了两种联合的ICA监测指标. 本文进一步对比分析了不同指标的统计意义和物理意义, 并在仿真数据中验证了联合指标的优势, 在TE过程中验证了其检测和诊断特性.
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出版历程
  • 收稿日期:  2012-05-12
  • 修回日期:  2012-08-14
  • 刊出日期:  2013-05-20

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