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A fault isolation strategy for industrial processes using outlier-degree-based variable contributions

Author(s): Mu L; Sun W; Zhang Y; Feng N; Xue X; Li Q;

In industrial process monitoring, it is always a challenging and practical problem to analyze the causes of the system fault by isolating true fault variables from vast amounts of process data. However, the phenomenon of smearing effect occurs by using the traditional contribution analysis-based isolation methods since the defined isolation indices of dif ...

Article GUID: 38862336


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