Study on The Characteristics of Reactor Core Vibration Acoustic Signal under Different Excitation

C. Zhao, Wei Pang, K. Han, Beimin Xie, Huaidong Guo
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Abstract

The vibration and noise produced in the operation of power reactor contain a lot of state information of the equipment, and the deformation of its internal structure will cause the abnormality of vibration signal and acoustic signal in the abnormal working state, which provides important characteristic parameters for the uninterrupted detection of the equipment. Starting from the vibration and noise of the reactor core, the vibration and noise signals of the core under the normal working conditions of power frequency and the excitation of harmonic and DC magnetic bias abnormal working conditions are measured by establishing the vibration and noise test platform of the core model, and the correlation analysis and comparison of the vibration and noise data after the Fourier transform are carried out by using the three-dimensional waterfall diagram. The test results show that the frequency-domain distribution of the noise signal of the iron core under different excitation varies significantly. The noise signal can represent the operation state information of the iron core reflected by the vibration signal, and the Pearson correlation coefficient of the vibration and noise data reaches 0.701, showing a strong positive correlation.
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不同激励下电抗器堆芯振动声信号特性研究
动力电抗器在运行过程中产生的振动和噪声包含了设备的大量状态信息,其内部结构的变形会引起异常工作状态下振动信号和声信号的异常,为设备的不间断检测提供了重要的特征参数。从反应堆堆芯的振动和噪声出发,通过建立堆芯模型振动和噪声测试平台,测量在工频正常工况和谐波、直流偏磁异常工况激励下堆芯的振动和噪声信号,并利用三维瀑布图对振动和噪声数据进行傅里叶变换后的相关性分析和比较。试验结果表明,不同激励下铁芯噪声信号的频域分布有显著的变化。噪声信号可以代表振动信号所反映的铁芯运行状态信息,振动与噪声数据的Pearson相关系数达到0.701,表现出较强的正相关关系。
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