@article{article_522686, title={Noise Analysis of Air Disc Brake Systems Using Wavelet Synchro Squeezed Transform}, journal={Celal Bayar University Journal of Science}, volume={15}, pages={409–414}, year={2019}, DOI={10.18466/cbayarfbe.522686}, author={Ertekin, Zeynep and Özkurt, Nalan}, keywords={Air Disc Brake,Entropy,Noise analysis,Sound Processing,Wavelet Synchro Squeezed Transform}, abstract={<h4 style="padding:5px;font-family:Cambria;font-weight:bold;font-size:20px;line-height:16px;margin:0px;text-align:center;color:rgb(0,0,0);font-style:italic;"> <a href="http://dergipark.gov.tr/cbayarfbe/page/1919" style="padding:0px;color:rgb(242,101,34);"> <strong style="padding:0px;">Click here for manuscript sample template </strong> </a> </h4> <p> <span style="font-size:10pt;font-family:’Times New Roman’, serif;">Recently, signal processing methods are shown to be
successful while diagnosing faults in mechanical systems, using noise or
vibration data.  In this study, two
different faulty air disc brakes; noisy and less noisy ones are investigated
using Wavelet Synchrosqueezed Transform on audio recordings. The difference
between two types are shown in scalogram and also verified by a quantitative
measure of entropy. The audio recording has been carried out by using two
identical microphones sited on the brakes via data acquisition unit at a
sampling rate of 20 kHz, 16-bit resolution and these data are analyzed in
MATLAB software. The average of the entropy values of faulty and non-faulty
brakes were found to be 0.98 and 0.65, respectively. Therefore, it has been
concluded that, the entropy could be used as a distinguishing tool to
discriminate the faults. </span> <br /> </p>}, number={4}, publisher={Manisa Celal Bayar Üniversitesi}