Abstract:Unpredicted faults occurring in automation systems deteriorate the performance of soft sensors and may even lead to incorrect results. In order to address the problem, this study develops three novel data-driven approaches for development of soft sensors. The three proposed soft sensors have fault-tolerant abilities. They are respectively called measurement space-aided scheme (MSaS), subspace-aided scheme (SSaS), and improved MSaS (IMSaS). As means to obtain more accurate results of soft sensors in the online … Show more
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