Change search
ReferencesLink to record
Permanent link

Direct link
Automated Model-Based Reliability Prediction and Fault Tree Analysis
Linköping University, Department of Computer and Information Science.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
Abstract [en]

This work was undertaken as a final year project in Computer Engineering, within the Department of Computer and Information Science at Linköping University.

At the Department of Computer and Information Science, work oriented at testing and analyzing applications is developed to provide solution approaches to problems that arise in system product development. One of the current applications being developed is the ‘Systemics Analyst’. The purpose of the application is to facilitate for system developers with an analysis tool permitting insights on system reliability, system critical components, how to improve the system and the consequences as well as risks of a system failure.

The purpose of the present thesis was to enhance the ‘Systemics Analyst application’ by incorporating an ‘automated model-based reliability prediction’ and ‘fault tree analysis’ modules. This enables reliability prediction and fault tree analysis diagrams to be generated automatically from the data files and relieves the system developer from manual creation of the diagrams.

The enhanced Systemics Analyst application managed to present the results in respective models using the new incorporated functionality.

To accomplish the above tasks, ‘Systemics Analyst application’ was integrated with a library that handles automated model-based reliability prediction and fault tree analysis, which is described in this thesis. The reader will be guided through the steps that are performed to accomplish the tasks with illustrating figures, methods and code examples in order to provide a closer vision of the work performed.

Place, publisher, year, edition, pages
2011. , 30 p.
Keyword [en]
Automated Model-Based, Reliability predicitoin, Fault Tree Analysis
National Category
Computer Engineering
URN: urn:nbn:se:liu:diva-67240ISRN: LIU-IDA/LITH-EX-G--11/004--SEOAI: diva2:408689
2011-02-16, Donald Knuth, Linköpings Universitet 581 83 LINKÖPING, Linköping, 10:15 (English)
Available from: 2011-04-06 Created: 2011-04-05 Last updated: 2011-04-06Bibliographically approved

Open Access in DiVA

fulltext(599 kB)266 downloads
File information
File name FULLTEXT01.pdfFile size 599 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Computer and Information Science
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 266 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 371 hits
ReferencesLink to record
Permanent link

Direct link