Abstract
In the previous chapters, we have studied two standard MVA methods, PCA and PLS, and their applications to process monitoring and fault diagnosis. Canonical correlation analysis (CCA) is a further MVA method, which is also, in particular in the control community, known as canonical variate analysis (CVA) and recognized as a standard method for system identification.
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Ding, S.X. (2014). Canonical Variate Analysis Based Process Monitoring and Fault Diagnosis. In: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6410-4_7
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DOI: https://doi.org/10.1007/978-1-4471-6410-4_7
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