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- W3022393242 abstract "Large-scale problems which arise in surveillance systems for vibration and anomaly monitoring and in core surveillance systems of nuclear power reactors are discussed. The presented noise diagnostic method is based on sequential pattern recognition and large-scale system identification techniques. A multi-microprocessor architecture for the surveillance problem will be described briefly. The core surveillance system centers on a three-dimensional core model connected to the reactor instrumentation, which produces a detailed map of the power distribution in the core. Additionally, a control module based on the core model has been developed to obtain predictions of control strategies and on-line control. Hierarchical decomposition and coordination techniques are employed to minimize a given performance index. Taking advantage of the model structure achieves a fast solution of the large-scale problems, enabling the implementation on a process computer or on a parallel computer structure." @default.
- W3022393242 created "2020-05-13" @default.
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- W3022393242 date "1983-01-01" @default.
- W3022393242 modified "2023-09-23" @default.
- W3022393242 title "ON LARGE-SCALE PROBLEMS IN NOISE DIAGNOSTICS AND CORE SURVEILLANCE FOR NUCLEAR POWER PLANTS" @default.
- W3022393242 doi "https://doi.org/10.1016/b978-0-08-029991-4.50043-x" @default.
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