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Key performance indicator (KPI)‐relevant fault detection method has been raised for decades to hugely increase the economic interest of modern industries. However, the typical data‐driven approaches like the kernel principal component analysis (KPCA) and the kernel entropy analysis (KECA) are inefficient to consider the influence taken by the fault factor on the KPI. Thus, in this work, an algorithm...
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