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Squeak and Rattle Detection: A Comparative Experimental Data Analysis

MANTRALA, RAVI K
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204678221

Abstract Details

2008, MS, University of Cincinnati, Engineering : Mechanical Engineering.
Squeak and rattle evaluation is a common problem faced by automotive OEM’s. With increased importance to driving comfort and quality perception, squeak and rattle detection and elimination in modern automotive systems has become much more important in recent years. Many techniques involving time-frequency analysis, acoustics, digital signal processing, etc. are used to understand and control this unpredictable and undesirable vibro-acoustic phenomenon. An extensive literature survey was performed to gain understanding of the current state of the art. Detailed progression from the Fourier transform to the modern wavelet transform is also documented. This thesis is an attempt to perform a comparative analysis on experimental acoustic data collected on four, completely trimmed vehicles. These cars were tested on the four-axis, hydraulic road simulator at the Non-linear Testing Facility at the University of Cincinnati, Structural Dynamics Research Lab (UC-SDRL). The data was then analyzed using time-frequency techniques such as short time Fourier transform (STFT) and also with the advanced, complex Morlet wavelet technique. Both energy and amplitude normalization was performed on the Morlet wavelet and effects studied on data. The objective of the analysis was to detect and localize (in time and frequency) squeaks and rattles in automobiles from digital data recorded on the microphones when the hydraulic actuators were exciting the vehicle with certain signals. Understanding the applicability of the Morlet wavelets to the study of random bursts of acoustic energy and to observe their effectiveness in comparison to the standard STFT was also an important part of the study. Analysis of the data resulted in the conclusion that Morlet wavelets might not offer great advantage over the standard STFT in the process of detection of squeaks and rattles for automotive systems.
Dr. Randall Allemang (Advisor)
134 p.
Engineering, Mechanical
Wavelet Transform; Morlet; Squeak and Rattle

Recommended Citations

Citations

  • MANTRALA, R. K. (2008). Squeak and Rattle Detection: A Comparative Experimental Data Analysis [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204678221

    APA Style (7th edition)

  • MANTRALA, RAVI. Squeak and Rattle Detection: A Comparative Experimental Data Analysis. 2008. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204678221.

    MLA Style (8th edition)

  • MANTRALA, RAVI. "Squeak and Rattle Detection: A Comparative Experimental Data Analysis." Master's thesis, University of Cincinnati, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204678221

    Chicago Manual of Style (17th edition)

ucin1204678221
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© 2008, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.