Abstract:In this work, a methodology for fault detection and diagnosis in systems whose variables are non-stationary but vary continuously in an operation region is evaluated. The external analysis method was evaluated estimating different models to generate residues used for detection and diagnosis. Fault detection was performed using principal component analysis followed by monitoring with Hotteling's T 2 statistics, quadratic prediction error and combined. Different classifiers were used for diagnosis using differen… Show more
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