INVESTIGADORES
GODOY Jose Luis
congresos y reuniones científicas
Título:
Process monitoring based on measurement space decomposition
Autor/es:
J.L. GODOY; J.R. VEGA; J.L. MARCHETTI
Lugar:
Roma
Reunión:
Conferencia; IMAACA 2011 - 5th International Conference on Integrated Modeling and Analysis in Applied Control and Automation (part of the 8th International Mediterranean and Latin American Modelling Multiconference); 2011
Resumen:
A useful decomposition of the
input and output variable spaces is obtained by using the relationships
supporting Partial Least Squares Regression (PLSR). The resulting technique is
capable to classify faults or anomalies according to four types: those
associated to measurements of input variables, those related to measurements of
output variables, those linked to the inner latent structure of the complex
processes data and those related to upsets that follow its correlation
structure. This classification is suggested by the different subspaces in which
the whole measurement space can be decomposed by using PLSR modeling and
specific statistics actuating on each subspace. Hence, using an in-control PLSR
model, the tool is able to detect anomalies and to diagnose its kind. The
approach can be used for monitoring closed loop systems and to detect abnormal
controller functioning. Several features of the proposed classification
technique are analyzed through static and dynamic simulation examples.