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大型复杂机械早期故障特征提取技术研究
Research on the Technology of Extracting the Early Fault Features of Large-complex Mechanical Equipment
【摘要】 本文基于小波分析的时频特性及其多分辨分析理论,探讨了小波分析在提取大型复杂机械早期故障特征中的应用,并用计算机仿真了小波分析在强噪声背景下检测微弱瞬时信号的优越性能。
【Abstract】 Based on the characteristic of wavelet Time-frequency and theory of its muti-analysis, this paper discusses the application of extracting the fault features of mechanical equipment by using wavelet analysis, and also simulates its superior characteristics of detecting weak transient signal in a noisy environment.
【关键词】 小波分析;
时频分析;
瞬时信号;
计算机仿真;
【Key words】 Wavelet analysis; Time-frequency analysis; Fault feature; Computer simulation;
【Key words】 Wavelet analysis; Time-frequency analysis; Fault feature; Computer simulation;
- 【文献出处】 机电工程技术 ,Machine Development , 编辑部邮箱 ,2004年01期
- 【分类号】TH17
- 【被引频次】7
- 【下载频次】106