Data Collection Plan to Populate the Light Water Reactor Sustainability Failure Mode Degradation Library

Magdy S. Tawfik ; Binh T. Pham ; Vivek Agarwal ; Nancy J. Lybeck

关键词: AGING;    IMPLEMENTATION;    MANAGEMENT;    NUCLEAR POWER PLANTS;    RELIABILITY;    SAFETY;    SERVICE LIFE diagnostics;    failure mode degradation library;    LWRS;    online monitoring;    PHM;    prognsotics;   

DOI  :  10.2172/1031686
RP-ID  :  INL/EXT-11-23344
PID  :  OSTI ID: 1031686
Others  :  TRN: US1200200

美国|英语

来源: SciTech Connect

【 摘 要 】

Interest in implementing advanced Prognostic Health Management (PHM) systems in commercial nuclear power plants (NPPs) has increased rapidly in recent years, with an overarching goal of implementing of improving the safety, reliability, and economics/profitability of the aging nuclear fleet and extending their service life in the most cost-effective manner. The PHM system utilizes prognostic tools to estimate the remaining useful life (RUL) of a component or system of components based on current and predicted operating conditions. An effective implementation of the PHM system will anticipate and identify unique age-dependent degradation modes to provide early warning of emerging problems. Selection of the components and structures to be monitored is a crucial step for successful PHM implementation in NPPs. A selection framework is recommended for risk significant components (both safety-related and non-safety related) based on the Fussell-Vesely (F-V) Importance Measure and the Risk Achievement Worth (RAW) measure. For the selected components, a failure mode degradation library will be developed consisting of data corresponding to different failure/degradation modes. In lieu of constructing an expensive scaled test facility, several data sources are identified for populating the failure mode degradation library, including various national laboratories, universities, agencies, and industries.