论文信息 - On-line failure detection in nuclear power plant instrumentation

On-line failure detection in nuclear power plant instrumentation

The functional redundancy approach to detecting instrument failures in nuclear power plant instrumentation is described and evaluated. This real-time method uses a bank of Kalman filters (one for each instrument) to generate optimal estimates of the plant state. By performing consistency checks between the output of each filter, failed instruments can be identified. The technique is used to design an instrument failure detection system for a pressurized water reactor (PWR) pressurizer. Actual pressurizer data are used to demonstrate the capabilities of the functional redundancy methods.

J. Tylee | J. Tylee

[1] J. Louis Tylee,et al. A Generalized Likelihood Ratio Approach to Detecting and Identifying Failures in Pressurizer Instrumentation , 1982 .

[2] Alan S. Willsky,et al. A survey of design methods for failure detection in dynamic systems , 1976, Autom..

[3] R. N. Clark,et al. Instrument Fault Detection in a Pressurized Water Reactor Pressurizer , 1982 .

[4] J. Tylee. On-line validation of linear process models using generalized likelihood ratios , 1981, 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[5] L. J. Ybarrondo,et al. Loss-of-fluid test integral test facility and program , 1974 .

[6] R. Clark. The dedicated observer approach to instrument failure detection , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.