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Recently, the well-known k-nearest neighbor (kNN) rule has been successfully applied to the fault detection of industrial processes with nonlinear, multimode, and non-Gaussian distributed data. Once a fault is detected, how to investigate the root causes of the fault by isolating the true faulty variables without any historical fault information is a challenging problem. Inspired by the idea of the...
In the MIMO system, the benchmark of the multivariable system in the past is computed from the traces of the multivariable covariance matrices. This may cause false detection since the correlation among variables is not considered. In this paper, a new method, called ARMA-PCA based MV, is proposed. It is an integrated framework of multivariable principal component analysis (PCA) and the autoregressive...
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