![]() Prognostic methods that predict remaining life based on large crack growth, and phenomena that can be described by linear elastic fracture mechanics, have been reported by several researchers. Such measurement and modeling methods form the basis for a new range of advanced more » diagnostic and prognostic approaches. A related issue is then, based on a condition assessment or degradation trend, to have the ability to estimate the remaining useful life based of components, structures and systems based on the available materials degradation information. To meet this need nondestructive measurement methods that are suitable for on-line, continuous, in-plant monitoring over extended time periods (months to years) are needed. ![]() « lessĪ central issue in life extension for the current fleet of light water nuclear power reactors is the early detection and monitoring of significant materials degradation. Ultimately, the decision on component selection depend on the overall economical benefits arising from safety and operational considerations associated with implementing the PHM system. This paper therefore focuses on a component selection that is based on the analysis of a component's failure probability, risk, and cost. However, a nuclear power plant has thousands of SSCs, so implementing a PHM more » system that covers all SSCs requires careful planning and prioritization. Implementing a PHM system would strengthen the safety of nuclear power plants, reduce plant outage time, and reduce operation and maintenance costs. nuclear power plants from 40 to 60 years and beyond can benefit from a systematic application of PHM technology. The current efforts to extend the operational license lifetime of the aging fleet of U.S. Prognostic health monitoring (PHM) is a proactive approach to monitor the ability of structures, systems, and components (SSCs) to withstand structural, thermal, and chemical loadings over the SSCs planned service lifespans.
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