<正> Acoustic signals from diesel engines not only colitain useful information but also includeconsiderable noise components. To extract information for condition monitoring purposes the continu-ous wavelet transform (CWT)is used for the characterization of engine acoustics. The charasteristicsof the CWT in terms of the representation of short duration transient signals are reviewed firstlyWavelet selection and CWT implementation are then detailed. With the wavelet transform, the majorsoures of the exterior radiation sound of the engine front are surveyed. The research provides a reli-able basis for engineering practice to reduce vehicle sound level. Furthermore, the idenification resultsof the measured acoustic signals are compared with the identification results of the measured surfacevibration, and good agreement is observed.
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机译:Comparison between analysing wavelets in continuous wavelet transform based on the fast Fourier transform: application to estimate pulmonary arterial hypertension by heart sound
机译:Researchers at European Commission Zero in on Machine Learning (Nakagami-m Fading Channel Identification Using Adaptive Continuous Wavelet Transform and Convolutional Neural Networks)
机译:Initial Arrival Time Identification Utilizing Wavelet Transform and Akaike Information Criterion for Locating Acoustic Emission Source in a Thin Plate