There has been extensive research on analysis of nonlinear profiles. Nevertheless, most research deals only with single profiles. In some industrial practices, however, the sensing system records more than one profile at each operation cycle. In this work, for the purpose of fault detection and diagnosis, we propose a method for analyzing multichannel profiles based on uncorrelated multilinear PCA. We show the effectiveness of the proposed method using simulation and a case study.
Fault Detection and Diagnosis Using Multichannel Nolinear Profile Data
PACELLA, Massimo
2011-01-01
Abstract
There has been extensive research on analysis of nonlinear profiles. Nevertheless, most research deals only with single profiles. In some industrial practices, however, the sensing system records more than one profile at each operation cycle. In this work, for the purpose of fault detection and diagnosis, we propose a method for analyzing multichannel profiles based on uncorrelated multilinear PCA. We show the effectiveness of the proposed method using simulation and a case study.File in questo prodotto:
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