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Wavelet transformation: theory and engineering applications

机译:小波变换:理论与工程应用

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The wavelet transformation (WT) overcomes the limitations of Fourier Transformation (FT). In comparison to FT, where only the global information is available, WT provides the local information by projecting the signal into the time-frequency plane. This makes WT a powerful signal analysis tool; but the effective use of wavelet is impeded due to the complex mathematical framework. This paper provides an easy-to-understand reading on the theory of wavelet, avoidig mathematical complexity. The powerful capabilities of wavelet coefficients are explored. Three examplex demonstrate the application of WT in the areas of vibration analysis and manufacturing fault diagnosis. Therefore, this paper will be very interesting to engineers to understand the theory, implementation, and application of WT.
机译:小波变换(WT)克服了傅立叶变换(FT)的局限性。与仅提供全局信息的FT相比,WT通过将信号投影到时频平面来提供本地信息。这使WT成为功能强大的信号分析工具。但是由于复杂的数学框架,阻碍了小波的有效使用。本文提供了对小波理论的易于理解的阅读,避免了数学上的复杂性。探索了小波系数的强大功能。三个examplex演示了WT在振动分析和制造故障诊断领域中的应用。因此,本文对于工程师了解WT的理论,实现和应用将非常有趣。

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