원전 체크밸브 진단기법 개발을 위한 음향방출기법 및 신경회로망 적용에 관한 연구 = Development of the Condition Monitoring Technique of the Check Valve in Nuclear Power Plants using Acoustic Emission Technique and Neural Network

다국어 초록 (Multilingual Abstract)

This work performed in support of the International Nuclear Energy Research Initiative(INERI) program, which was to develop and demonstrate advanced sensor and computational technology for on-line monitoring of the condition of components, structures, and systems in advanced and next-generation nuclear power plants(NPPs). The primary objective of this work is to investigate advanced condition monitoring systems based on acoustic emission detection that can provide timely detection of check valve degradation and service aging so that maintenance/replacement could be preformed prior to loss of safety function. The research is focused on the capability of AE technique to provide diagnostic information useful in determining check valve aging and degradation, check valve failures and undesirable operating modes. This work also includes the study to detect failure in check valves using neural networks.