应用DSmT的堆芯吊篮故障信号小波包分析

Wavelet packet analysis of fault signal for core hanging basket using DSm T

为解决反应堆堆芯吊篮故障信息难以获取问题,提出一种采用DSm T&小波包能量分析的故障特征决策提取融合方法.研究分析了堆芯吊篮在吊篮破裂、吊篮紧固件部分脱落和堆芯支撑下板与吊篮热处理变形3种故障工况的振动信号,采用小波包变换提取故障信号频段能量,将含有故障信息的采集数据经小波包能量分析后直接赋值给DSm T信度函数.实验结果表明,小波包能量分析DSm T融合方法的诊断准确率优于小波包子带能量特征向量图方法,DSm T融合算法能够有效辨识吊篮故障模式,具有较高的诊断效率及可靠性.

This paper proposes a DSm T wavelet packet energy analysis fusion method for the problem of reactor core hanging basket fault information. Three kinds of vibration signals in fault conditions from fastener bursting,fastener parts falling off and heat treatment deformation are analyzed and investigated. Then the extracted fault signal frequency band energy based method is directly used and assigned the collected data to DSm T reliability function. The experimental results show that diagnostic accuracy of DSm T is superior to sub-band energy vector graphics,and DSm T can effectively identify hanging basket failure mode with high diagnostic efficiency and reliability.