摘要
基于小波分析的理论与算法,运用小波分析技术对金属磁记忆信号进行消噪平滑、数据压缩和奇异性分析,提取出有用的特征参量,具体涉及小波多分辨率分析的消噪平滑、一维小波分析进行磁记忆信号压缩、基于小波分析的磁记忆信号奇异性分析等方面,为工件磁记忆信号的正确评价提供理论和实验依据。
Signals of metal magnetic memory （MMM） is analyzed by using noise reduction, data compression and abnormal signal detection based on theoretics and arithmetic of wavelet analysis. The characteristic parameters are abstracted. Noise reduction of multi-resolution analysis of wavelet transform, data compression of MMM based on one-dimensional wavelet transform and abnormal signal detection of MMM based on wavelet analysis are involved. The conclusion of theoretics and experiments can estimate exactly for MMM signal.
出处
《兵工自动化》
2008年第7期48-50,57,共4页
Ordnance Industry Automation
关键词
金属磁记忆
无损检测
小波分析
Metal magnetic memory
Nondestructive testing
Wavelet analysis
