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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 ...

Article GUID: 38862336


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