Name
Abstract | ||
|---|---|---|
This paper addresses a dynamic fault tree analysis (DFTA) to predict the reliability of a steering system. Reliability evaluation is a vital task to prevent any potential failure in a system by identifying vulnerable parts of the system and managing them effectively. Safety-critical systems, such as electric vehicles, have many components whose failure may cause a catastrophic accident. The steering system in a vehicle is one of the most critical subsystems requiring a high level of reliability. In this paper, a DFTA method using the Simpson's rule is proposed to evaluate the reliability of a steering system. A set of simulation results shows that the proposed method can overcome the problem of low accuracy with the existing approximation method while requiring no excessive calculation time of the Markov chain method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IVS.2013.6629665 | Intelligent Vehicles Symposium |
Keywords | Field | DocType |
markov chain method,catastrophic accident,safety-critical systems,simpson rule,approximation theory,road accidents,dfta method,vehicle steering system,fault trees,failure analysis,critical subsystems,reliability,automotive engineering,steering system reliability evaluation,markov processes,approximation method,dynamic fault tree analysis,electric vehicles,steering systems,approximation algorithms,safety critical systems,logic gates,sensors | Markov process,Steering system,Markov chain,Approximation theory,Control engineering,Engineering,Fault tree analysis,Reliability engineering | Conference |
ISSN | ISBN | Citations |
1931-0587 | 978-1-4673-2754-1 | 1 |
PageRank | References | Authors |
0.36 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungil Byun | 1 | 3 | 1.03 |
| Inseok Yang | 2 | 3 | 2.04 |
| Moo Geun Song | 3 | 1 | 0.36 |
| Dongik Lee | 4 | 77 | 14.46 |