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A REAL-TIME EXPERT SYSTEM FOR ANOMALY DIAGNOSIS BASED ON REACTOR NOISE

YiYu Zhao
Japan Atomic Energy Research Instilute, Tokai-mura, Ibaraki-ken, 319-11, Japan

Koji Hayashi
Japan Atomic Energy Research Instilute, Tokai-mura, Ibaraki-ken, 319-11, Japan

Kunihiko Nabeshima
Japan Atomic Energy Research Instilute, Tokai-mura, Ibaraki-ken, 319-11, Japan

Yoshio Fujii
Japan Atomic Energy Research Instilute, Tokai-mura, Ibaraki-ken, 319-11, Japan

Yoshikuni Shinohara
Japan Atomic Energy Research Instilute, Tokai-mura, Ibaraki-ken, 319-11, Japan

Sinopsis

This paper describes the outline of a real-lime expert system under development for anomaly diagnosis of a PWR plant based on reactor noise analysis. The noise signal processing includes parametric time-domain and the related frequency-domain methods lo supply the expert system with input information. The expert system has three basic components: a noise analysis subsystem, an operating controller and a knowledge-base. The knowledge-base consists of five main parts: monitoring and diagnostic rules, plant structure, plant operation, process data attributes and cause-consequence trees. Operation of the noise diagnostic expert system can be divided into three operational modes: learning mode, monitoring mode and diagnosis mode. The functions of the expert system are being checked using the reactor noise data from an actual reactor obtained during an abnormal occurrence.

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