A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle
Buzz, squeak and rattle (BSR) noise has become apparent in vehicles due to the significant reductions in engine noise and road noise. The BSR often occurs in driving condition with many interference signals. Thus, the automatic BSR detection remains a challenge for vehicle engineers. In this paper,...
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Institute of Fundamental Technological Research Polish Academy of Sciences
2022-04-01
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| Series: | Archives of Acoustics |
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| Online Access: | https://journals.pan.pl/Content/122948/PDF/aoa.2022.140731.pdf |
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| author | Linyuan Liang Shuming Chen Peiran Li |
| author_facet | Linyuan Liang Shuming Chen Peiran Li |
| author_sort | Linyuan Liang |
| collection | DOAJ |
| description | Buzz, squeak and rattle (BSR) noise has become apparent in vehicles due to the significant reductions in engine noise and road noise. The BSR often occurs in driving condition with many interference signals. Thus, the automatic BSR detection remains a challenge for vehicle engineers. In this paper, a rattle signal denoising and enhancing method is proposed to extract the rattle components from in-vehicle background noise. The proposed method combines the advantages of wavelet packet decomposition and mathematical morphology filter. The critical frequency band and the information entropy are introduced to improve the wavelet packet threshold denoising method. A rattle component enhancing method based on multi-scale compound morphological filter is proposed, and the kurtosis values are introduced to determine the best parameters of the filter. To examine the feasibility of the proposed algorithm, synthetic brake caliper rattle signals with various SNR ratios are prepared to verify the algorithm. In the validation analysis, the proposed method can well remove the disturbance background noise in the signal and extract the rattle components with well SNR ratios. It is believed that the algorithm discussed in this paper can be further applied to facilitate the detection of the vehicle rattle noise in industry. |
| format | Article |
| id | doaj-art-8e6a295c1ef84cf8bb62b17bcc7e7cb8 |
| institution | Matheson Library |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2022-04-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-8e6a295c1ef84cf8bb62b17bcc7e7cb82025-08-02T13:38:04ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2022-04-01vol. 47No 14355https://doi.org/10.24425/aoa.2022.140731A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for VehicleLinyuan Liang0Shuming Chen1Peiran Li2State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing 401122, ChinaState Key Laboratory of Vehicle NVH and Safety Technology, Chongqing 401122, ChinaState Key Laboratory of Vehicle NVH and Safety Technology, Chongqing 401122, ChinaBuzz, squeak and rattle (BSR) noise has become apparent in vehicles due to the significant reductions in engine noise and road noise. The BSR often occurs in driving condition with many interference signals. Thus, the automatic BSR detection remains a challenge for vehicle engineers. In this paper, a rattle signal denoising and enhancing method is proposed to extract the rattle components from in-vehicle background noise. The proposed method combines the advantages of wavelet packet decomposition and mathematical morphology filter. The critical frequency band and the information entropy are introduced to improve the wavelet packet threshold denoising method. A rattle component enhancing method based on multi-scale compound morphological filter is proposed, and the kurtosis values are introduced to determine the best parameters of the filter. To examine the feasibility of the proposed algorithm, synthetic brake caliper rattle signals with various SNR ratios are prepared to verify the algorithm. In the validation analysis, the proposed method can well remove the disturbance background noise in the signal and extract the rattle components with well SNR ratios. It is believed that the algorithm discussed in this paper can be further applied to facilitate the detection of the vehicle rattle noise in industry.https://journals.pan.pl/Content/122948/PDF/aoa.2022.140731.pdfrattle signalswavelet packet decompositionmathematical morphology filtercritical frequency bandinformation entropy |
| spellingShingle | Linyuan Liang Shuming Chen Peiran Li A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle Archives of Acoustics rattle signals wavelet packet decomposition mathematical morphology filter critical frequency band information entropy |
| title | A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle |
| title_full | A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle |
| title_fullStr | A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle |
| title_full_unstemmed | A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle |
| title_short | A Rattle Signal Denoising and Enhancing Method Based on Wavelet Packet Decomposition and Mathematical Morphology Filter for Vehicle |
| title_sort | rattle signal denoising and enhancing method based on wavelet packet decomposition and mathematical morphology filter for vehicle |
| topic | rattle signals wavelet packet decomposition mathematical morphology filter critical frequency band information entropy |
| url | https://journals.pan.pl/Content/122948/PDF/aoa.2022.140731.pdf |
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