Development of the dynamic fault tree using Markovian process and supercomponent
- 1. Korea Advanced Inst. of Science and Technology, Seoul (Republic of Korea)
Description
The existing fault tree technique is static, whereas the proposed technique using the Markovian process can treat the fault tree dynamically. It is possible to model the dynamic features of the existing fault tree and to handle the dependencies on the state of the system. This allows detailed consideration of component maintenance. The Markovian process is based on the probabilistic models. It is also characterized by the state and the time, so the system, which is composed of a number of basic events, can be described at any time by specifying its state at that time. In the Markovian approach for fault tree, the concept of the supercomponent is introduced in order to reduce the number of system states and the size of the transition matrix. Now, a number of basic events are considered to be one component in the Markovian process. Using the proposed dynamic fault tree analysis, a sample calculation is performed. As a result, the unavailability is much less than the value for the static fault tree analysis. Namely, the conservatism of the current analysis is excluded in this paper. The dynamic behavior of each system state and of the overall system is well analyzed. The interactions between the supercomponent tested and the supercomponent not tested are dynamically analyzed, too. (author)
Additional details
Publishing Information
- Journal Title
- Reliab. Eng.
- Journal Volume
- 19
- Journal Issue
- 2
- Series
- Reliab. Eng.
- Journal Page Range
- 137-160
- ISSN
- 0143-8174
- CODEN
- RLEND
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- United Kingdom
- INIS RN
- 19013626
- Subject category
- S22: GENERAL STUDIES OF NUCLEAR REACTORS;
- Descriptors DEI
- DYNAMICS; FAULT TREE ANALYSIS; MARKOV PROCESS; PROBABILISTIC ESTIMATION; TIME DEPENDENCE
- Descriptors DEC
- MECHANICS; STOCHASTIC PROCESSES; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS