NDLI: Spacecraft thrusters diagnosis with vertices principal component analysis: Application to the rendez-vous phase of the mars sample return mission

Please wait, while we are loading the content...

Spacecraft thrusters diagnosis with vertices principal component analysis: Application to the rendez-vous phase of the mars sample return mission

Content Provider	IEEE Xplore Digital Library
Author	Gueddi, I. Nasri, O. Benothman, K. Dague, P.
Copyright Year	2014
Description	Author affiliation: LRI Lab. for Comput. Sci., Univ. of Paris-Sud 11, Orsay, France (Dague, P.) \|\| LARATSI Lab., Univ. of Monastir, Monastir, Tunisia (Gueddi, I.; Benothman, K.) \|\| SAGE Lab., Sousse Univ. of Sousse, Sousse Erriadh, Tunisia (Nasri, O.)
Abstract	This paper presents a fault diagnosis system of the chaser thrusters used during the rendez-vous phase of the Mars Sample Return (MSR) mission. The Vertices Principal Component Analysis (VPCA) has been adopted as an extension method of the classical principal component analysis for interval valued data. The VPCA has been used to estimate the relationships between the various variables of the process. To ensure the feasibility of the proposed FDI approach, a set of interval valued data provided by the industrial "high-fidelity" simulator of the MSR and representing the opening rates of the spacecraft thrusters has been considered. The test results demonstrate that the fault detection and isolation are successfully accomplished.
Starting Page	1
Ending Page	7
File Size	1600769
Page Count	7
File Format	PDF
ISBN	9781479973002
DOI	10.1109/CISTEM.2014.7349342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-03
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reconstruction Thrusters SPE Indexes MSR PCA Space vehicles Fault diagnosis VPCA Mars Fault detection Mathematical model Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fault Detection and Isolation of spacecraft thrusters using an extended principal component analysis to interval data

Spacecraft Actuator Diagnosis with Principal Component Analysis: Application to the Rendez-Vous Phase of the Mars Sample Return Mission

VPCA-based fault diagnosis of spacecraft reaction wheels

Fault diagnosis of spacecraft reaction wheels based on principal component analysis

Fault detection and diagnosis for spacecraft using principal component analysis and support vector machines

Fault detection and isolation of spacecraft thrusters by using principal component analysis

Robust thruster fault diagnosis: application to the rendezvous phase of the mars sample return mission (2013).

On PCA-based fault diagnosis techniques

A new method for determining PCA models for system diagnosis

Spacecraft thrusters diagnosis with vertices principal component analysis: Application to the rendez-vous phase of the mars sample return mission

Similar Documents

Fault Detection and Isolation of spacecraft thrusters using an extended principal component analysis to interval data

Spacecraft Actuator Diagnosis with Principal Component Analysis: Application to the Rendez-Vous Phase of the Mars Sample Return Mission

VPCA-based fault diagnosis of spacecraft reaction wheels

Fault diagnosis of spacecraft reaction wheels based on principal component analysis

Fault detection and diagnosis for spacecraft using principal component analysis and support vector machines

Fault detection and isolation of spacecraft thrusters by using principal component analysis

Robust thruster fault diagnosis: application to the rendezvous phase of the mars sample return mission (2013).

On PCA-based fault diagnosis techniques

A new method for determining PCA models for system diagnosis

Spacecraft thrusters diagnosis with vertices principal component analysis: Application to the rendez-vous phase of the mars sample return mission