Noise Analysis of Air Disc Brake Systems Using Wavelet Synchrosqueezed Transform
| dc.contributor.author | Zeynep ERTEKİN ÖZDAMAR | |
| dc.contributor.author | Nalan ÖZKURT | |
| dc.contributor.author | Özdamar, Zeynep Ertekin | |
| dc.contributor.author | Özkurt, Nalan | |
| dc.date.accessioned | 2025-10-22T16:05:52Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Recently signal processing methods are shown to be successful while diagnosing faults in mechanicalsystems using noise or vibration data. In this study two different faulty air disc brakes, noisy and lessnoisy ones are investigated using Wavelet Synchrosqueezed Transform on audio recordings. Thedifference between two types are shown in scalogram and also verified by a quantitative measure ofentropy. The audio recording has been carried out by using two identical microphones sited on the brakesvia data acquisition unit at a sampling rate of 20 kHz 16-bit resolution and these data are analyzed inMATLAB software. The average of the entropy values of faulty and non-faulty brakes were found to be0.98 and 0.65 respectively. Therefore it has been concluded that the entropy could be used as adistinguishing tool to discriminate the faults. | |
| dc.identifier.citation | 1. Beloiu DM Ibrahim RA. 2006. Analytical and experimental investigations of disc brake noise using the frequency‐time domain Structural Control and Health Monitoring. The Official Journal of the International Association for Structural Control and Monitoring and of the European Association for the Control of Structures, 13(1): 277-300.2. Rhee SK Tsang PHS Wang YS. 1989. Friction-induced noise and vibration of disc brakes. Wear, 133(1): 39-45.3. Chen X. & Feng Z. (2016 June). Time-frequency demodulation analysis for gearbox fault diagnosis under nonstationary conditions. In 2016 IEEE International Conference on Prognostics and Health Management (ICPHM) (pp. 1-6). IEEE.4. He D Cao H Wang S Chen X. 2019. Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing. Mechanical Systems and Signal Processing, 117: 255-279.5. Chen X Feng Z. 2016. Application of reassigned wavelet scalogram in wind turbine planetary gearbox fault diagnosis under nonstationary conditions. Shock and Vibration.6. Li H Xu F Liu H Zhang X. 2015. Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram. Measurement, 65: 1-10.7. Peng Z Meng K G Chu FL. 2011. Improved wavelet reassigned scalograms and application for modal parameter estimation. Shock and Vibration, 18(1-2) 299-316.8. Peng Z Chu F He Y. 2002. Vibration signal analysis and feature extraction based on reassigned wavelet scalogram. Journal of Sound and Vibration, 253(5): 1087-1100.9. Liu W Cao S Wang Z Jiang K Zhang Q Chen Y. 2018. A Novel Approach for Seismic Time-Frequency Analysis Based on High-Order Synchrosqueezing Transform. IEEE Geoscience and Remote Sensing Letters, 99: 1-5.10. Herrera R. H Tary J.B van der Baan M Eaton DW. 2015. Body wave separation in the time-frequency domain. IEEE Geoscience and Remote Sensing Letters, 12(2): 364-368.11. Li D Liu H Gui X Zhang X. 2016. An efficient ISAR imaging method for maneuvering target based on synchrosqueezing transform. IEEE Antennas and Wireless Propagation Letters, 15: 1317-1320.12. Clausel M Oberlin T Perrier V. 2015. The monogenic synchrosqueezed wavelet transform: a tool for the decomposition/demodulation of AM–FM images. Applied and Computational Harmonic Analysis, 39(3): 450-486.13. Ertekin Z Özkurt N & Yılmaz C. 2017. Disk Fren Sistemlerinde Dalgacık Tepeleri Yöntemi ile Ses Analizi. Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 32(4): 193-200.14. Hwang W Han K Huh K. 2012. Fault detection and diagnosis of the electromechanical brake based on observer and parity space. International Journal of Automotive Technology, 13(5): 845- 851.15. Kampanalı Fren Sistemi Parçaları ve Çalışması https://otomobilteknoloji.blogspot.com.tr/2016/ 08/kampanali-frensistemi-parcalaricalismasi.html/ (accessed at 31.08.2016)16. The illustrated wavelet transform handbook: introductory theory and applications in science engineering medicine and finance. CRC press. Addison P. S. 201717. Daubechies I Lu J Wu HT. 2011. Synchrosqueezed wavelet transforms. An empirical mode decomposition-like tool. Applied and computational harmonic analysis, 30(2): 243-261.18. https://www.mathworks.com/help/wavelet/gs/waveletsynchrosqueezing.html19. Gonzalez R. C Woods RE Eddins S. L. (2004). Digital image processing using MATLAB (Vol. 624). Upper Saddle River: PearsonPrentice-Hall.20. Ertekin Z Özkurt N Yilmaz C. 2018. In 2018 26th Signal Processing and Communications Applications Conference İzmir Turkey 2018 pp 1-4. | |
| dc.identifier.doi | 10.18466/cbayarfbe.522686 | |
| dc.identifier.issn | 1305-130X | |
| dc.identifier.issn | 1305-1385 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/10818 | |
| dc.identifier.uri | https://search.trdizin.gov.tr/en/yayin/detay/383831 | |
| dc.language.iso | İngilizce | |
| dc.relation.ispartof | Celal Bayar Üniversitesi Fen Bilimleri Dergisi | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Celal Bayar Üniversitesi Fen Bilimleri Dergisi | |
| dc.subject | Mühendislik- Makine-Akustik | |
| dc.subject | Mühendislik, Makine | |
| dc.subject | Akustik | |
| dc.title | Noise Analysis of Air Disc Brake Systems Using Wavelet Synchrosqueezed Transform | |
| dc.type | Article | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| gdc.description.department | ||
| gdc.description.departmenttemp | [Özkurt, Nalan; Özdamar, Zeynep Ertekin] Yaşar Üniversitesi, Selçuk Yaşar Kampüsü, 35100 Bornova, İzmir, Türkiye | |
| gdc.description.endpage | 414 | |
| gdc.description.issue | 4 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 409 | |
| gdc.description.volume | 15 | |
| gdc.identifier.openalex | W2998196556 | |
| gdc.identifier.trdizinid | 383831 | |
| gdc.index.type | TR-Dizin | |
| gdc.oaire.accesstype | GOLD | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 1.0 | |
| gdc.oaire.influence | 2.5512168E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Engineering | |
| gdc.oaire.keywords | Mühendislik | |
| gdc.oaire.keywords | Air Disc Brake;Entropy;Noise analysis;Sound Processing;Wavelet Synchro Squeezed Transform | |
| gdc.oaire.popularity | 1.1536111E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 0.3369 | |
| gdc.openalex.normalizedpercentile | 0.62 | |
| gdc.opencitations.count | 1 | |
| gdc.plumx.mendeley | 1 | |
| gdc.virtual.author | Özkurt, Nalan | |
| oaire.citation.endPage | 414 | |
| oaire.citation.startPage | 409 | |
| publicationissue.issueNumber | 4 | |
| publicationvolume.volumeNumber | 15 | |
| relation.isAuthorOfPublication | ab998146-5792-43f1-bab9-d4ab1c7d16d5 | |
| relation.isAuthorOfPublication.latestForDiscovery | ab998146-5792-43f1-bab9-d4ab1c7d16d5 | |
| relation.isOrgUnitOfPublication | ac5ddece-c76d-476d-ab30-e4d3029dee37 | |
| relation.isOrgUnitOfPublication.latestForDiscovery | ac5ddece-c76d-476d-ab30-e4d3029dee37 |