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An analytical approach to quantitative effect estimation of operation advisory system based on human cognitive process using the Bayesian belief network File

Lee, Seung Jun , Kim, Man Cheol , Seong, Poong Hyun

Article Issue Date2008-04 View3
AN OVERVIEW OF RISK QUANTIFICATION ISSUES FOR DIGITALIZED NUCLEAR POWER PLANTS USING A STATIC FAULT TREE

Kang, Hyun Gook , Kim, Man Cheol , Lee, Seung Jun , Lee, Ho Jung , Eom, Heung Seop , Choi, Jong Gyun , Jang, Seung-Cheol

Article Issue Date2009-08 View3
DEVELOPMENT OF A BAYESIAN BELIEF NETWORK MODEL FOR QUANTIFYING SOFTWARE FAILURE PROBABILITY OF A PROTECTION SYSTEM

Chu, Tsong-Lun , Varuttamaseni, Athi , Yue, Meng , Lee, Seung Jun , Eom, Heung Seop , Kang, Hyun Gook , Kim, Man Cheol , Son, Han Seong , Yang, Steve

Conference Paper Issue Date2015-04-26 View4
Estimation of reactor protection system software failure probability considering undetected faults File

Khalaquzzaman, Mohamed , Lee, Seung Jun , Kim, Man Cheol , Jung, Wondea

Article Issue Date2014-12 View3
Evaluation of effectiveness of fault-tolerant techniques in a digital instrumentation and control system with a fault injection experiment File File

Kim, Man Cheol , Seo, Jeongil , Jung, Wondea , Choi, Jong Gyun , Kang, Hyun Gook , Lee, Seung Jun

Article Issue Date2019-06 View6
Important factors affecting fault detection coverage in probabilistic safety assessment of digital instrumentation and control systems File

Kim, Man Cheol , Lee, Seung Jun

Article Issue Date2014-06 View3
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