Identification of diesel front sound source based on continuous wavelet transform.
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.
Hao
Zhi-yong
ZY
College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China. haozy@zju.edu.cn
Han
Jun
J
D000465:Algorithms; D001336:Automobiles; D003198:Computer Simulation; D011211:Electric Power Supplies; D004784:Environmental Monitoring / Q000379:methods; D019544:Equipment Failure Analysis / Q000379:methods*; D005742:Gasoline; D008962:Models, Theoretical; D009624:Noise, Transportation / Q000517:prevention & control*; D013018:Sound Spectrography / Q000379:methods*
D005742:Gasoline