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Application of analytic wavelet transform to transient signal analyses.
Zhu X; Kim J
Noise and Vibration Conference and Exhibition, May 15-17, 2007, St. Charles, Illinois. Warrendale: SAE International, 2007 May; :2007-01-2321
The analytic wavelet transform (AWT) is a wavelet transform that works much like a transient Fourier transform. Therefore the AWT enables utilizing advantages of both the wavelet transform and Fourier transform. A special form of AWT developed for transient vibration and acoustics signal analyses is applied to various engineering signals in this paper. Application examples include a general time-frequency (T-F) analysis, analysis of exposures to impulsive vibrations and noises, and estimation of reverberation times. Some new definitions such as the T-F noise reduction and frequency weighted time history are defined by taking the advantage of unique capabilities of the AWT. Possible automotive applications of these new concepts are briefly discussed.
Work-environment; Noise; Noise-exposure; Noise-sources; Exposure-levels; Risk-factors; Noise-induced-hearing-loss; Noise-levels; Auditory-system; Sound; Workers; Impulse-noise; Vibration; Engineering; Analytical-processes; Automotive-industry
Jay H. Kim, Parker-Haniffin Corp., 6035 Parkland Blvd., Cleveland, OH 44124-4141
Noise and Vibration Conference and Exhibition, May 15-17, 2007, St. Charles, Illinois
University of Cincinnati
Page last reviewed: April 1, 2022
Content source: National Institute for Occupational Safety and Health Education and Information Division