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What is Dynamic Fault Tree

Novel Design and Applications of Robotics Technologies
Dynamic fault tree (DFT) was invented in response to a shortage in modelling sequence-dependent failures by using standard combinatorial fault trees. It thus added capabilities for capturing the dynamic aspects exhibited by modern complex systems. The DFT is designed primarily for quantitative analysis, in general by using Markov techniques. However, there has been less focus on qualitative analysis at the level of the DFT, i.e. determination of its (minimal) cut-sequences.
Published in Chapter:
Improving Dependability of Robotics Systems: Analysis of Sequence-Dependent Failures
Nidhal Mahmud (SYSAF, UK)
Copyright: © 2019 |Pages: 24
DOI: 10.4018/978-1-5225-5276-5.ch005
Abstract
In this chapter, the authors propose an algorithm for the reduction of fault tree expressions that are generated from failure behavioral models. The significance of the sequencing of events is preserved during the generation and all along the reduction process, thus allowing full qualitative analysis. Thorough and detailed analysis results should positively impact the design of condition monitoring and failure prevention mechanisms. A behavioral model of a robotic system that exhibits sequence-dependent failures is used in the study.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Improving Dependability of Robotics Systems
Dynamic Fault Tree (DFT) was invented in response to a shortage in modelling sequence-dependent failures by using standard combinatorial fault trees. It thus added capabilities for capturing the dynamic aspects exhibited by modern complex systems. The DFT is designed primarily for quantitative analysis, in general by using Markov techniques. However, there has been less focus on qualitative analysis at the level of the DFT, i.e. determination of its (minimal) cut-sequences.
Full Text Chapter Download: US $37.50 Add to Cart
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