Skip to main content

Data-based fault detection and isolation (FDI) methods for a nonlinear ship propulsion system

Resource type
Thesis
Thesis type
(Thesis) M.A.Sc.
Date created
2004
Authors/Contributors
Author: Liu, Fang
Copyright statement
Copyright is held by the author.
Permissions
The author has not granted permission for the file to be printed nor for the text to be copied and pasted. If you would like a printable copy of this thesis, please contact summit-permissions@sfu.ca.
Scholarly level
Graduate student (Masters)
Supervisor or Senior Supervisor
Thesis advisor: Saif, Mehrdad
Language
English
Member of collection
Engineering Science Theses
Download file Size
b36929025.pdf 6.99 MB

Views & downloads - as of June 2023

Views: 0
Downloads: 0