摘要
故障信号的特征提取,是故障诊断的关键。通过以德比契斯(Daubechies)小波为基函数的二进小波变换、采用Mallat快速算法的小波包对故障信号进行特征提取。利用小波包对实验数据进行分析,其结果具有良好的时频局部化特性,能对非线性信号进行有效识别。
Signal feature extraction is the key to fault diagnosis. In this paper, through dyadic wavelet transform which uses Daubechies wavelet as basic function,wavelet packet of Mallat fast algorithm is applied to extract characteristics of fault signal. Analyzing the experimental data with wavelet packet are analyzed. The result has good localization characteristics, and can identify non - stationary signal effectively.
出处
《北京信息科技大学学报（自然科学版）》
2010年第3期43-47,共5页
Journal of Beijing Information Science and Technology University
基金
北京市自然基金项目(3083019)
"高档数控机床与基础制造装备"科技重大专项(2009ZX04014-101-05)
关键词
旋转机械
故障诊断
小波包分析
特征提取
rotating machinery
wavelet packet analysis
fault diagnosis
feature extration
