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Towards an FDIR Software Fault Tree Library for Onboard Computers

Müller, Sascha and Höflinger, Kilian Johann and Smisek, Michal and Gerndt, Andreas (2020) Towards an FDIR Software Fault Tree Library for Onboard Computers. In: 2020 IEEE Aerospace Conference, AERO 2020, pp. 1-10. 2020 IEEE Aerospace Conference, 07.03.2020 - 14.03.2020, Big Sky, Montana. doi: 10.1109/AERO47225.2020.9172756. ISBN 978-172812734-7. ISSN 1095-323X.

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Official URL: https://ieeexplore.ieee.org/document/9172756

Abstract

The increasing complexity of space missions, their software architectures, and hardware that has to meet the demands for those missions, imposes numerous new challenges for many engineering disciplines such as reliability engineering. Affected by the ever growing demand for more onboard computation power are the onboard computers. They in return require Fault Detection, Isolation, and Recovery (FDIR) architectures to support their fault tolerant operation in the harsh environment of space. Especially high performance commercial processing units face the challenge of dealing with negative radiation effects, which may significantly degrade their operation. To design performant and fault tolerant onboard computers, it is of high interest to assess the effectiveness of the FDIR architecture in the early phase of system design. This can be achieved using Fault Tree Analysis (FTA). However, to create complete fault trees manually is an error prone and labor intensive task. In this paper, the methodology for assessing the FDIR design of onboard computers in space systems, presented in [1], is refined by introducing a library of FDIR routines. The routines are modeled using fault trees and are composed into a software system fault tree using a basic fault model and a design configuration chosen by the reliability engineer. To assess the configurations, we give a heuristic based on a factor-criteria-metric model. We demonstrate the feasability of our approach on the basis of a case study on the rover of the Martian Moons eXploration (MMX) mission. Several FDIR configurations are studied and fault trees are generated for them. For the chosen case study, we obtain a reduction of up to 80% in terms of modeling effort.

Item URL in elib:https://elib.dlr.de/135846/
Document Type:Conference or Workshop Item (Speech)
Title:Towards an FDIR Software Fault Tree Library for Onboard Computers
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Müller, SaschaSa.Mueller (at) dlr.dehttps://orcid.org/0000-0002-1913-1719
Höflinger, Kilian JohannKilian.Hoeflinger (at) dlr.dehttps://orcid.org/0000-0002-7565-8232
Smisek, MichalMichal.Smisek (at) dlr.dehttps://orcid.org/0000-0002-0061-1691
Gerndt, AndreasAndreas.Gerndt (at) dlr.dehttps://orcid.org/0000-0002-0409-8573
Date:2020
Journal or Publication Title:2020 IEEE Aerospace Conference, AERO 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1109/AERO47225.2020.9172756
Page Range:pp. 1-10
ISSN:1095-323X
ISBN:978-172812734-7
Status:Published
Keywords:FDIR, Fault Trees, Reliability, OBC
Event Title:2020 IEEE Aerospace Conference
Event Location:Big Sky, Montana
Event Type:international Conference
Event Dates:07.03.2020 - 14.03.2020
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Model Based Engineering for Failure Detection, Isolation, and Recovery
Location: Braunschweig
Institutes and Institutions:Institut of Simulation and Software Technology > Software for Space Systems and Interactive Visualisation
Institut of Simulation and Software Technology > Leitungsbereich SC
Institute for Software Technology
Institut of Simulation and Software Technology
Deposited By: Müller, Sascha
Deposited On:02 Nov 2020 14:32
Last Modified:17 Dec 2020 10:42

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