摘要
Acoustic signals from diesel engines not only contain useful information butalso include considerable noise components. To extract information for condition monitoring purposesthe continuous wavelet transform (CWT) is used for the characterization of engine acoustics. Thecharacteristics of the CWT in terms of the representation of short duration transient signals arereviewed firstly. Wavelet selection and CWT implementation are then detailed. With the wavelettransform, the major sources of the exterior radiation sound of the engine front are surveyed. Theresearch provides a reliable basis for engineering practice to reduce vehicle sound level.Furthermore, the identification results of the measured acoustic signals are compared with theidentification results of the measured surface vibration, and good agreement is observed.
Acoustic signals from diesel engines not only contain useful information butalso include considerable noise components. To extract information for condition monitoring purposesthe continuous wavelet transform (CWT) is used for the characterization of engine acoustics. Thecharacteristics of the CWT in terms of the representation of short duration transient signals arereviewed firstly. Wavelet selection and CWT implementation are then detailed. With the wavelettransform, the major sources of the exterior radiation sound of the engine front are surveyed. Theresearch provides a reliable basis for engineering practice to reduce vehicle sound level.Furthermore, the identification results of the measured acoustic signals are compared with theidentification results of the measured surface vibration, and good agreement is observed.
