Advanced Signal Processing Algorithms for Sound and Vibration Beyond the FFT

Several advanced signal processing algorithms beyond the FFT such as time-frequency analysis, quefrency, cestrum, wavelet analysis, and AR modeling uses are outlined. These advanced algorithms can solve some sound and vibration challenges that FFT-based algorithms cannot solve. Looking at signal characteristics of a unit under test in the time-frequency plane, it is possible to get a better understanding of signal characteristics. This is an overview of these algorithms and some application examples, such as speaker testing, bearing fault detection, dashboard motor testing, and engine knock detection where they can be applied to NVH applications.

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See papers presented at SAE 2009 Noise and Vibration Conference and Exhibition, May 2009, St. Charles, IL, USA, Session: Instrumentation Systems, Sensors and Methods (Part 2 of 4)

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