[article]
Titre : |
A New target function for robust data reconciliation |
Type de document : |
texte imprimé |
Auteurs : |
Siyi Jin, Auteur ; Xuewen Li, Auteur ; Zhaojie Huang, Auteur |
Année de publication : |
2012 |
Article en page(s) : |
pp. 10220-10224 |
Note générale : |
Industrial chemistry |
Langues : |
Anglais (eng) |
Mots-clés : |
Data reconciliation |
Résumé : |
To detect the gross errors efficiently in the process of data reconciliation, a new target function is proposed based on robust M-estimators. Robustness of this new target function is evaluated through the influence function. Then, the performance of the new target function is illustrated through a linear data reconciliation example and a nonlinear one. Simulation results show that the new target function gives promising results for data reconciliation and gross error detection. Besides, the proposed new target function has an advantage over the Cauchy and Huber functions on detecting small gross error. |
ISSN : |
0888-5885 |
En ligne : |
http://cat.inist.fr/?aModele=afficheN&cpsidt=26201438 |
in Industrial & engineering chemistry research > Vol. 51 N° 30 (Août 2012) . - pp. 10220-10224
[article] A New target function for robust data reconciliation [texte imprimé] / Siyi Jin, Auteur ; Xuewen Li, Auteur ; Zhaojie Huang, Auteur . - 2012 . - pp. 10220-10224. Industrial chemistry Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 51 N° 30 (Août 2012) . - pp. 10220-10224
Mots-clés : |
Data reconciliation |
Résumé : |
To detect the gross errors efficiently in the process of data reconciliation, a new target function is proposed based on robust M-estimators. Robustness of this new target function is evaluated through the influence function. Then, the performance of the new target function is illustrated through a linear data reconciliation example and a nonlinear one. Simulation results show that the new target function gives promising results for data reconciliation and gross error detection. Besides, the proposed new target function has an advantage over the Cauchy and Huber functions on detecting small gross error. |
ISSN : |
0888-5885 |
En ligne : |
http://cat.inist.fr/?aModele=afficheN&cpsidt=26201438 |
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