Development of a New Squeak and Rattle Detection Algorithm 2009-01-2111
A new algorithm to detect and to quantify the seriousness of the detected squeak and rattle (S&R) events was developed. A T-F analysis technique called AWT, the Zwicker loudness model and leaky integration are employed to define new concepts we called transient specific loudness time histories and perceived transient loudness time history. The detection threshold of the perceived transient loudness was identified by a clever interpretation of jury test results. The proposed algorithm showed a good promise producing results that are well correlated with the jury tests. The new algorithm developed in this work will be able to automate detection and rating of the S&R events with good accuracy and with minimum possibility of false alarm under normal operating conditions
Citation: Chandrika, U. and Kim, J., "Development of a New Squeak and Rattle Detection Algorithm," SAE Int. J. Passeng. Cars – Mech. Syst. 2(1):1424-1430, 2009, https://doi.org/10.4271/2009-01-2111. Download Citation
Author(s):
Unnikrishnan Kuttan Chandrika, Jay Kim
Affiliated:
University of Cincinnati
Pages: 7
Event:
SAE 2009 Noise and Vibration Conference and Exhibition
ISSN:
1946-3995
e-ISSN:
1946-4002
Also in:
SAE International Journal of Passenger Cars - Mechanical Systems-V118-6EJ, SAE International Journal of Passenger Cars - Mechanical Systems-V118-6
Related Topics:
Mathematical models
Technical review
Historical reference
Noise
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