Identification of diesel front sound source based on continuous wavelet transform.

Zhi-yong Hao; Jun Han

doi:10.1631/jzus.2004.1069

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Identification of diesel front sound source based on continuous wavelet transform.

Zhi-yong Hao·Jun Han

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Abstract

Acoustic signals from diesel engines contain useful information but also include considerable noise components. To extract information for condition monitoring purposes, continuous wavelet transform (CWT) is used for the characterization of engine acoustics. This paper first reviews CWT characteristics represented by short duration transient signals. Wavelet selection and CWT are then implemented and wavelet transform is used to analyze the major sources of the engine front's exterior radiation sound. The research provides a reliable basis for engineering practice to reduce vehicle sound level. Comparison of the identification results of the measured acoustic signals with the identification results of the measured surface vibration showed good agreement.

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Algorithms Automobiles Computer Simulation Electric Power Supplies Environmental Monitoring Equipment Failure Analysis Gasoline Models, Theoretical Noise, Transportation Sound Spectrography Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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Zhi-yong Hao, Jun Han. 2004. Identification of diesel front sound source based on continuous wavelet transform.. https://doi.org/10.1631/jzus.2004.1069

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