The detection and the isolation of a common fault occurred in an Unmanned Surface Vehicle (USV) is presented. A data-driven, model-free technique based on the Principal Components Analysis (PCA) technique is used to formulate the fault detection problem
Application of Fault Detection and Isolation Techniques on an Unmanned Surface Vehicle (USV)
ZANOLI, Silvia Maria;ASTOLFI, GIACOMO;
2012-01-01
Abstract
The detection and the isolation of a common fault occurred in an Unmanned Surface Vehicle (USV) is presented. A data-driven, model-free technique based on the Principal Components Analysis (PCA) technique is used to formulate the fault detection problemFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
