Parity-based robust data-driven fault detection for nonlinear systems using just-in-time learning approach
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DOI: 10.1177/0142331219894807
Abstract: This paper discusses a framework for fault detection in nonlinear processes. A novel subspace aided parity-based data-driven technique is proposed using the so-called just-in-time learning (JITL) approach. The idea of the proposed technique is to… read more here.
Keywords: detection; fault detection; parity based; approach ... See more keywords