Reliability data update using condition monitoring and prognostics in probabilistic safety assessment
Authors:
- Hyeonmin KimHKHyeonmin Kim
- Sang-Hwan LeeSLSang-Hwan Lee
- Jun-Seok ParkJPJun-Seok Park
- Hyungdae KimHKHyungdae Kim
- Yoon-Suk ChangYCYoon-Suk Chang
- Gyunyoung HeoGHGyunyoung Heo
Open Access
- 1 March 2015
- journal article
- Published by Elsevier in Nuclear Engineering and Technology
- Vol. 47 (2) , 204-211
Abstract
No abstract availableKeywords
Funding Information
- Nuclear Safety and Security Commission (NSSC), Republic of Korea (1301024)
This publication has 7 references indexed in Scilit:
- Application case study of AP1000 automatic depressurization system (ADS) for reliability evaluation by GO-FLOW methodologyNuclear Engineering and Design, 2014
- Analysis of economics and safety to cope with station blackout in PWRAnnals of Nuclear Energy, 2013
- A survey of dynamic methodologies for probabilistic safety assessment of nuclear power plantsAnnals of Nuclear Energy, 2013
- Quantitative functional failure analysis of a thermal–hydraulic passive system by means of bootstrapped Artificial Neural NetworksAnnals of Nuclear Energy, 2010
- A quantitative evaluation of reliability of passive systems within probabilistic safety assessment framework for VHTRAnnals of Nuclear Energy, 2010
- The Impact of Uncertainties on the Performance of Passive SystemsNuclear Technology, 2005
- Reliability evaluation of a natural circulation systemNuclear Engineering and Design, 2003