Breadcrumb

 
 

A fault-tree approach for identifying causes of actuator failure in attitude control subsystem of space vehicles

Title:

A fault-tree approach for identifying causes of actuator failure in attitude control subsystem of space vehicles

Barua, Amitabh (2004) A fault-tree approach for identifying causes of actuator failure in attitude control subsystem of space vehicles. Masters thesis, Concordia University.

[img]
Preview
PDF - Accepted Version
4Mb

Abstract

In this thesis, we have proposed a novel approach which strengthens existing efficient fault-detection mechanisms with an additional ability to classify different types of faults to effectively determine potential causes of failure in a subsystem. This extra capability ensures a quick and efficient recovery/reconfiguration from disruptions. Our developed diagnosis/analysis procedure exploits a widely used qualitative technique called fault-tree analysis for failure analysis in the Attitude Control Subsystem (ACS) of a spacecraft. The proposed fault-tree synthesis algorithm utilizes machine-learning techniques to classify and rank primitive events in terms of their severity for a particular system failure. The effectiveness of the fault-tree synthesis algorithm presented in this thesis has been demonstrated under different simulated ACS failure scenarios. Constructed fault-trees have been able to represent combinations of events leading to different failures resulting due to artificially injected faults in a Simulink model of ACS. It is important to emphasize that proposed technique has potentials for being integrated in an on-board spacecraft health monitoring and diagnosis tool. (Abstract shortened by UMI.)

Divisions:Concordia University > Faculty of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Thesis (Masters)
Authors:Barua, Amitabh
Pagination:xi, 102 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Electrical and Computer Engineering
Date:2004
Thesis Supervisor(s):Sinha, P and Khorasani, K
ID Code:8103
Deposited By:Concordia University Libraries
Deposited On:18 Aug 2011 14:15
Last Modified:18 Aug 2011 14:15
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Document Downloads

More statistics for this item...

Concordia University - Footer