Transmission noise identification using two-dimensional dynamic signal analysis

Abstract This study aims at identifying transmission noise of two types of electrical vehicles with different transmission systems using the developed two-dimensional dynamic signal analysis (2DSA). Two electrical scooters, more specifically, with a gear transmission system and a continuous variable transmission (CVT) system, respectively, have been taken as test benches due to the whistle-like noise emitting from their transmission systems. To effectively process dynamic signatures measured from rotary machinery with varying speed, and even varying orders during operation, such as a machine with a CVT system or gear-shifting operation, the 2DSA approaches including the order analysis (OA) and the time–frequency analysis have been developed and implemented as processing tools. The specifications of vehicle transmission systems, especially the ratio of each speed reduction, and the tooth (cog, blade, etc.) number of transmission elements, i.e., geometric analysis, are firstly to be examined. After the 2DSA processes the noise measured from test vehicles during wide-open-throttle operation, dominant annoying transmission noise components can be extracted, and their sources can be identified through comparing feature orders obtained from geometric analysis. The procedure can not only identify noise sources but conclude transmission components to be further modified in respect of annoying noise.

[1]  L. Cohen,et al.  Time-frequency distributions-a review , 1989, Proc. IEEE.

[2]  K. W. Wang,et al.  Literature Review : On the Noise and Vibration of Chain Drive Systems , 1991 .

[3]  Håvard Vold,et al.  Vold-Kalman Order Tracking: New Methods for Vehicle Sound Quality and Drive-Train NVH Applications , 1997 .

[4]  W. Neise,et al.  Review of noise reduction method for centrifugal fans , 1981 .

[5]  W. Lu,et al.  CVT belt noise of scooters , 2002 .

[6]  H.-J. Kaiser,et al.  Special Noise Problems in Automotive Timing Belts , 1993 .

[7]  G. Wesley Blankenship,et al.  New Rating Indices for Gear Noise Based Upon Vibro-Acoustic Measurements , 1992 .

[8]  Boualem Boashash,et al.  An efficient real-time implementation of the Wigner-Ville distribution , 1987, IEEE Trans. Acoust. Speech Signal Process..

[9]  David Griffiths,et al.  METHODS FOR ANALYZING ORDER SPECTRA , 1995 .

[10]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[11]  Masanori Kagotani,et al.  A study on timing belt noise (theoretical analysis for forced transverse vibration of timing belt with parametric excitation) , 1990 .

[12]  David L. Brown,et al.  The Time Variant Discrete Fourier Transform as an Order Tracking Method , 1997 .

[13]  M. Pan,et al.  Design Modification for Reducing Silent Chain Annoying Noise , 2002 .

[14]  S. Qian,et al.  Joint time-frequency analysis , 1999, IEEE Signal Process. Mag..

[15]  W. Neise.  Noise reduction in centrifugal fans: A literature survey , 1976 .

[16]  Jerome E. Manning,et al.  Gear Noise Analysis Using Modern Signal Processing and Numerical Modeling Techniques , 1984 .

[17]  Jason R. Blough,et al.  Theoretical Foundations for High Performance Order Tracking with the Vold-Kalman Tracking Filter , 1997 .