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Novel Method for Identifying and Assessing Rattle Noise on Vehicle Seatbelt Retractors Based on Time-Frequency Analysis
Technical Paper
2021-01-5015
ISSN: 0148-7191, e-ISSN: 2688-3627
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Automotive Technical Papers
Language:
English
Abstract
Rattle noise as an error state of cabin noise in vehicles has become an important topic both in research and application. In engineering, the commonly used method to evaluate and detect rattle issues is greatly dependent on experts’ personal auditory perception. People judge a noise simply as “loud” and “not loud” or “qualified” and “unqualified.” A more objective method needs to be developed to eliminate the randomness of subjective evaluation. In this paper, a rig test of the seatbelt retractors was performed, and simulated random excitation was applied to the test samples through the MB vibration test bench in a semi-anechoic chamber. The rattle noises were recorded by HEAD SQuadriga II. Various methods were employed to identify and assess the severity of rattle noise on seatbelt retractors. The Akaike Information Criterion (AIC) accompanying a sample entropy (SE)-based empirical mode decomposition denoising method was adopted to identify the rattle and calculate the rattle occurrence automatically. Psychoacoustic analysis, time-domain statistic method, and Hilbert-Huang transform were introduced to extract the acoustic and non-acoustic features of the rattle noises. On this basis, an objective rattle-assessing model was established to evaluate the rattle noise on the seatbelt retractor efficiently. The proposed method can well reflect the subjective evaluation and, therefore, can be extended to evaluate the rattle noise objectively.
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Citation
Liang, L., Li, P., and Chen, S., "Novel Method for Identifying and Assessing Rattle Noise on Vehicle Seatbelt Retractors Based on Time-Frequency Analysis," SAE Technical Paper 2021-01-5015, 2021, https://doi.org/10.4271/2021-01-5015.Data Sets - Support Documents
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References
- Ji , F. , Bao , Y. , Zhou , Y. , Du , F. et al. Investigation on Performance and Implementation of Tesla Turbine in Engine Waste Heat Recovery Energy Conversion and Management 179 326 338 2019 https://doi.org/10.1016/j.enconman.2018.10.071
- Ji , Y. , Chen , S. , and Zhu , W. The Effect of Pore Numbers in the Cell Walls of Soybean Oil Polyurethane Foam on Sound Absorption Performance Applied Acoustics 157 107010 2020 https://doi.org/10.1016/j.apacoust.2019.107010
- Liang , L. , Chen , S. , and Li , P. The Evaluation of Vehicle Interior Impact Noise Inducing by Speed Bumps Based on Multi-Features Combination and Support Vector Machine Applied Acoustics 163 107212 2020 https://doi.org/10.1016/j.apacoust.2020.107212
- Chen , F. and Trapp , M. Automotive Buzz, Squeak and Rattle Butterworth-Heinemann Elsevier Ltd Oxford, United Kingdom 1 25 2012 https://doi.org/10.1016/B978-0-7506-8496-5.00001-4
- Choi , J.M. , Lyu , S.J. , Seol , Y.S. , Jun , I.K. et al. A BSR Analytical Evaluation Method Considering the Sound Quality Perception SAE Technical Paper 2013-01-1913 2013 https://doi.org/10.4271/2013-01-1913
- Li , D. and Huang , Y. The Discomfort Model of the Micro Commercial Vehicles Interior Noise Based on the Sound Quality Analyses Applied Acoustics 132 223 231 2018 https://doi.org/10.1016/j.apacoust.2017.11.022
- Pietila , G. and Lim , T.C. Intelligent Systems Approaches to Product Sound Quality Evaluations—A Review Applied Acoustics 73 10 987 1002 2012 https://doi.org/10.1016/j.apacoust.2012.04.012
- Volandri , G. , Di Puccio , F. , Forte , P. , and Mattei , L. Psychoacoustic Analysis of Power Windows Sounds: Correlation between Subjective and Objective Evaluations Applied Acoustics 134 160 170 2018 https://doi.org/10.1016/j.apacoust.2017.11.020
- Huang , H.B. , Li , R.X. , Huang , X.R. , Yang , M.L. et al. Sound Quality Evaluation of Vehicle Suspension Shock Absorber Rattling Noise Based on the Wigner-Ville Distribution Applied Acoustics 100 18 25 2015 https://doi.org/10.1016/j.apacoust.2015.06.018
- Kuttan Chandrika , U. and Kim , J. Development of an Algorithm for Automatic Detection and Rating of Squeak and Rattle Events Journal of Sound and Vibration 329 4567 4577 2010 https://doi.org/10.1016/j.jsv.2010.05.003
- Gosavi , S.S. Automotive Buzz, Squeak and Rattle (BSR) Detection and Prevention SAE Technical Paper 2005-26-056 2005 https://doi.org/10.4271/2005-26-056
- Shin , S.-H. and Cheong , C. Experimental Characterization of Instrument Panel Buzz, Squeak, and Rattle (BSR) in a Vehicle Applied Acoustics 71 12 1162 1168 2010 https://doi.org/10.1016/j.apacoust.2010.07.006
- Huang , H.B. , Li , R.X. , Huang , X.R. , Lim , T.C. et al. Identification of Vehicle Suspension Shock Absorber Squeak and Rattle Noise Based on Wavelet Packet Transforms and a Genetic Algorithm-Support Vector Machine Applied Acoustics 113 137 148 2016 https://doi.org/10.1016/j.apacoust.2016.06.016
- Xing , Y.F. , Wang , Y.S. , Shi , L. , Guo , H. et al. Sound Quality Recognition Using Optimal Wavelet-Packet Transform and Artificial Neural Network Methods Mechanical Systems and Signal Processing 66-67 875 892 2016 https://doi.org/10.1016/j.ymssp.2015.05.003
- Yang , C. , Yu , D. , and Xia , B. Research on the Sound Metric of Door-Slamming Sound Based on Leaky Integration and Wavelet Decomposition International Journal of Automotive Technology 15 5 853 860 2014
- Machens , K.U. and Scholz , J. Mechanical Retractor Noise Evaluation on Electrodynamic Shaker: Test Procedure International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference 2018 Austria June 20-22, 2018 http://doi.org/10.4271/2018-01-1532
- Scholz , J. , Amort , M. , Payer , J. , Kapsalis , C. et al. Robustness and Reliability Enhancement on Retractor Noise Testing, from Development Considerations to Round Robin SAE Technical Paper 2018-01-1533 2018 https://doi.org/10.4271/2018-01-1533
- de Oliveira , E.D. , Reis , D.B. , and Huallpa , B.N. Seat Belt Retractor Objective Evaluation SAE Technical Paper 2005-01-4164 2005 https://doi.org/10.4271/2005-01-4164
- Malinow , I.G. , and Perkins , N.C. Seat Belt Retractor Rattle: Understanding Root Sources and Testing Methods SAE Technical Paper 1999-01-1729 1999 https://doi.org/10.4271/1999-01-1729
- Liang , L. , Li , P. , and Chen , S. Further Study of the Vehicle Rattle Noise with Consideration of the Impact Rates and Loudness SAE Int. J. Adv. & Curr. Prac. in Mobility 2 4 2285 2296 2020 https://doi.org/10.4271/2020-01-1261
- Huang , N.E. , Shen , Z. , Long , S.R. , Wu , M.C. et al. The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 454 1971 903 995 1998
- Pincus , S. Assessing Serial Irregularity and Its Implications for Health Annals of the New York Academy of Sciences 954 245 267 2001
- Liu , M. , Yang , J. , Cao , Y. , Fu , W. et al. A New Method for Arrival Time Determination of Impact Signal Based on HHT and AIC Mechanical Systems & Signal Processing 86 177 187 2017
- Shang , X. , Li , X. , Morales-Esteban , A. , and Dong , L. Enhancing Micro-Seismic P-Phase Arrival Picking: EMD-Cosine Function-Based Denoising with an Application to the AIC Picker Journal of Applied Geophysics 150 325 337 2018 https://doi.org/10.1016/j.jappgeo.2017.09.012
- Zhu , M. , Wang , L. , Liu , X. , Zhao , J. et al. Accurate Identification of Microseismic P- and S-Phase Arrivals Using the Multi-Step AIC Algorithm Journal of Applied Geophysics 150 284 293 2018 https://doi.org/10.1016/j.jappgeo.2018.01.007
- Sedlak , P. , Hirose , Y. , and Enoki , M. Acoustic Emission Localization in Thin Multi-Layer Plates Using First-Arrival Determination Mechanical Systems & Signal Processing 36 2 636 649 2013
- Sedlak , P. , Hirose , Y. , Khan , S.A. , Enoki , M. et al. New Automatic Localization Technique of Acoustic Emission Signals in Thin Metal Plates Ultrasonics 49 2 254 262 2008
- Zhu , W.B. , Tian , L. , Shen , C. , and Huang , W.J. Research on Abnormal Noise of Automobile Seat Belt Retractor Auto Parts 05 88 91 2019