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Non-Gaussian Process Monitoring and Fault Diagnosis

  • Xiangyu Kong,
  • Jiayu Luo,
  • Xiaowei Feng

摘要

Compared with PLS and PCA, independent component analysis (ICA) uses higher-order statistical information (above third-order) of the signal, so as to extract the non-Gaussian characteristic. In recent years, ICA was commonly used as a fault diagnosis method in the field of non-Gaussian process monitoring.