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Industrial plants often undergo different kinds of changes like variable drifts and time‐variant problems, which may cause the degradation of soft sensors. In this paper, a spatio‐temporal adaptive soft sensor modeling framework, which is based on the moving window and just‐in‐time learning (JITL) techniques, is proposed for nonlinear time‐varying processes. The JITL (locally weighted partial least...
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