INVESTIGADORES
BANDONI Jose Alberto
artículos
Título:
CACE-1998: Outlier detection in process plant data
Autor/es:
J. CHEN; A. BANDONI; J. ROMAGNOLI
Revista:
COMPUTERS AND CHEMICAL ENGINEERING
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 1998 vol. 22 p. 641 - 646
ISSN:
0098-1354
Resumen:
AbstractAn integrated approach for outlier detection and data reconciliation is discussed. It is shown that outliers can be identified by directly examining the measurement distribution. In our approach, a non-linear limiting transformation which operates on the data set is utilised to eliminate or reduce the inftuence of outliers on the performance of the conventional data reconciliation. Monte Cario study shows that the proposed approach provides better results than the conventional approach in the presence of outliers. When no outlier exists, it provides as good a performance asthe conventional approach. © 1998 Elsevier Science Ltd. All rights reserved outliers. When no outlier exists, it provides as good a performance as the conventional approach. © 1998 Elsevier Science Ltd. All rights reserved