Presentation | 2002/3/15 Sequential Failure Logic with Uncertainty Tsuneharu SHIMODAIRA, Yoshinobu SATO, Koichi SUYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes how the uncertainty of statistics on input events affects the output event in fault tree analysis with sequential failure logic. Usually β factor method is applied to the analysis of common cause failures of subsystems. However, this method can not be applied to the analysis of the common cause failures of two subsystems if the system is composed of three subsystems. In the present paper, the distributions of output event are obtained by way of Monte Carlo simulations for three inputs events with the statistics of normal distributions, in order to analyze the relationships between the uncertainty of inputs and that of output. Moreover, the difference between the β factor method and MGL method that can be applied to the common cause failures of two subsystems in the system with three subsystems is discussed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | uncertainty / sequential failure logic / normal distribution |
Paper # | CPM2001-152 |
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Committee | CPM |
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Conference Date | 2002/3/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Component Parts and Materials (CPM) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Sequential Failure Logic with Uncertainty |
Sub Title (in English) | |
Keyword(1) | uncertainty |
Keyword(2) | sequential failure logic |
Keyword(3) | normal distribution |
1st Author's Name | Tsuneharu SHIMODAIRA |
1st Author's Affiliation | Tokyo University of Mercantile Marine() |
2nd Author's Name | Yoshinobu SATO |
2nd Author's Affiliation | Tokyo University of Mercantile Marine |
3rd Author's Name | Koichi SUYAMA |
3rd Author's Affiliation | Tokyo University of Mercantile Marine |
Date | 2002/3/15 |
Paper # | CPM2001-152 |
Volume (vol) | vol.101 |
Number (no) | 741 |
Page | pp.pp.- |
#Pages | 5 |
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