This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Advanced Signal Processing Algorithms for Sound and Vibration Beyond the FFT
Technical Paper
2009-01-2164
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
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.
Recommended Content
Citation
Veggeberg, K. and Zhang, N., "Advanced Signal Processing Algorithms for Sound and Vibration Beyond the FFT," SAE Technical Paper 2009-01-2164, 2009, https://doi.org/10.4271/2009-01-2164.Also In
References
- Qian S. INTRODUCTION TO TIME-FREQUENCY AND WAVELET TRANSFORMS Prentice-Hall 2002
- Qian S. Chen D. JOINT TIME-FREQUENCY ANALYSIS: METHODS AND APPLICATIONS Prentice-Hall 1996