On-Line Monitoring of Accuracy and Reliability of Instrumentation and Health of Nuclear Power Plants
Department of Energy
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Small Business Information
Analysis and Measurement Services Corporation
AMS 9111 Cross Park Drive, Building A-100, Knoxville, TN, 37923
Socially and Economically Disadvantaged:
AbstractThe nuclear power industry continues to depend largely on antiquated methods and hands-on maintenance for its instrumentation, for plant-aging management, and health monitoring. This project will develop on-line monitoring technology that will help establish the accuracy and reliability of nuclear power plant instrumentation and also will help in the management of aging critical plant equipment. Advanced data acquisition and data analysis techniques, which can readily meet the needs of the nuclear industry for automated maintenance and plant health management, will be identified, evaluated, and tested in Phase I. These techniques will include data qualification algorithms; steady-state data-analysis techniques, involving both physical and empirical modeling; and dynamic signal analysis, such as Fast Fourier Transfer (FFT) and Autoregressive Modeling (AR). The feasibility of an on-line monitoring system for nuclear power plants will be established. The analytical techniques will be integrated into a prototype system in Phase II. Commercial Applications and Other Benefits as described by the awardee: The technology should find use in conventional, advanced, and Gen IV reactors as well as in such non-nuclear industries as fossil fuel generation, chemical plants, and aerospace. The system would: (1) ensure the accuracy and reliability of process instrumentation; (2) characterize the overall health of a plant; (3) provide a means to guard against aging degradation that can impair safety; (4) provide timely information and data to plant operators, allowing accurate decision making for control and safety monitoring; and (5) establish the condition of critical plant equipment, needed to prioritize maintenance resources and optimize maintenance tasks.
* information listed above is at the time of submission.