کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
297637 | 511762 | 2011 | 6 صفحه PDF | دانلود رایگان |

This paper presents a method to estimate the common cause failure (CCF) probabilities on the common cause component group (CCCG) with mixed testing schemes such as the train level mixed testing scheme or the alternate periodic testing scheme. In the train level mixed testing scheme, the components are tested in a non-staggered way within the same train, but the components are tested in a staggered way between the trains. The alternate periodic testing scheme indicates that all components in the same CCCG are tested in a non-staggered way during the planned maintenance period, but they are tested in a staggered way during normal plant operation. Since the CCF probabilities are dependent on the testing schemes such as staggered testing or non-staggered testing, CCF estimators have two kinds of formulas in accordance with the testing schemes. Thus, there are general formulas to estimate the CCF probability on the staggered testing scheme and non-staggered testing scheme. However, in real plant operation, there are many CCCGs with specific mixed testing schemes. Recently, Barros (Barros et al., 2009) and Kang (Kang et al., 2009) proposed a CCF factor estimation method to reflect the alternate periodic testing scheme and the train level mixed testing scheme. In this paper, a general formula which is applicable to both the alternate periodic testing scheme and the train level mixed testing scheme was derived.
► This paper presents a method to estimate the common cause failure probabilities on the common cause component group with mixed testing schemes.
► The CCF probabilities are dependent on the testing schemes such as staggered testing or non-staggered testing.
► There are many CCCGs with specific mixed testing schemes in real plant operation.
► Therefore, a general formula which is applicable to both alternate periodic testing scheme and train level mixed testing scheme was derived.
Journal: Nuclear Engineering and Design - Volume 241, Issue 12, December 2011, Pages 5275–5280