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Based on the function matrix, a novel monitoring method called multivariate functional kernel principal component analysis (MFKPCA) is proposed for fault detection of batch processes, which directly eigen-decomposes the two-way function matrix in the function space and uses the kernel trick to handle the nonlinear correlations.
Author: Nouraee, M.; Younessian, M.; Seddighi, J.; Maalekinejad, M.; Majdzadeh, S. R. Background The following text is a field study of a monitoring method called "Self-evaluation".
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