基于支持向量机的核探测器电路故障诊断方法研究

Research of Nuclear Detector Circuit Fault Diagnosis Based on Support Vector Machine

  • 摘要: 核数据的获取和处理包括探测器将核粒子能量通过模拟放大器转换成与之对应的脉冲幅度;再由模拟-数字转换器(ADC)或时间-数字变换器(TDC)将探测器给出的脉冲幅度(或时间间隔)变换成离散的核信息数据。本文根据其离散数据提取特征值并进行模式识别,尝试基于支持向量机的模拟电路故障定位,并通过软件仿真对此方法进行检验。通过具体成形放大模拟电路仿真实验,验证了支持向量机对模拟电路故障定位的有效性。

     

    Abstract: The nuclear data acquisition and processing can convert nuclear particle energy into corresponding pulse amplitude by analog amplifier, and then the digital information of pulse amplitude is acquired by the analog-to-digital converter (ADC) or time digital converter (TDC). In this paper, the eigenvalue was extracted by the method of pattern recognition from the discrete data, and the analog circuit fault diagnosis and location was studied based on support vector machine. By the experiment of practical forming amplification analog circuit, the validity of the nuclear detector circuit fault diagnosis based on support vector machine was verified.

     

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