基于小波灰色预测理论的旋转机械故障预测分析仪  

Fault analysis instrument for rotating machinery based on wavelet analysis and grey theory

作　　者：朱大奇[1] 易健雄[1] 袁芳[1] 

机构地区：[1]上海海事大学信息工程学院,上海200135

出　　处：《仪器仪表学报》2008年第6期1176-1181,共6页Chinese Journal of Scientific Instrument

基　　金：国家自然科学基金(50775136);上海市自然科学基金(07ZR14045);上海市教委项目(06FZ038;2008099)资助

摘　　要：提出了一种基于小波分析和灰色预测理论的旋转机械故障预测分析仪设计方案。重点阐述了仪器的硬件结构及软件设计思想。以旋转机械主轴振动位移信号为例,首先应用小波变换进行特征向量提取,然后应用灰色理论进行结果预测,实验结果表明,将小波变换与灰色预测理论结合进行振动特征向量的预测是可行而有效的。The design scheme of fault analyzer for rotating machinery based on wavelet analysis and grey theory is presented in this paper. The system hardware structure and software design idea are introduced in detail, Taking the vibration signal of main shaft for rotating machinery as an example, the characteristic vectors are extracted and fault forecasting is carried out using wavelet analysis and grey theory. Experiment results show that it is effective to diagnose the incipient fault in early stage by combining wavelet analysis and grey theory.

关 键 词：小波分析 灰色理论 DSP 旋转机械 故障预测 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]