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Ma Y.-W.,Shanghai JiaoTong University | Wang D.-Z.,Shanghai JiaoTong University | Yu W.-D.,No 240 Research Institute Of Nuclear Industry | Zhu Y.-L.,China National Nuclear Corporation | Zhang K.,Shanghai JiaoTong University
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | Year: 2011

The environment radiation monitoring system in nuclear power plant continuously monitors γ dose rate. If the dose rate exceeds a predetermined threshold, the system will issue a warning. However, the radon and thorium daughters effects and the system noise and their periodic changes will result in fake alarm. In order to study these factors, a support vector machine model was established to classify the reasons of threshold exceeding. The model was tested by more than 2000 groups of historical data. The results show that it can accurately classify the reasons, and the accuracy rate is more than 98%. Source

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