Analysis and Classification of Air Disc Brake Sounds in Time and Frequency Domain
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Date
2018
Authors
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Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
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No
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Abstract
In this study analysis and classification of audio data collected from faulty air disc brakes has been carried out by Fourier Transform (FT). The sound data have been recorded by 2 identical Norsonic Type 1228 microphones in the laboratory of Ege Fren A.S. on a vehicle. The recorded data set which has been transferred into computer by a data acquisition board has been analyzed in Matlab. Number of zero crossings, mean variance entropy and spectral rolloff of Fourier coefficients have been used as features in order to distinguish normal and faulty brakes. These features have been classified with 10x10 crossvalidation by using kth nearest neighbour algorithm with a success rate of 96.23 %
Description
Keywords
Fourier Transform, Air Disc Brake System, Sound Analysis, Classification, FAULT-DIAGNOSIS, VIBRATION, Sound Analysis, Air Disc Brake System, Classification, Fourier Transform
Fields of Science
0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
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OpenCitations Citation Count
N/A
Source
26th IEEE Signal Processing and Communications Applications Conference (SIU)
Volume
Issue
Start Page
1
End Page
4
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