Research of brake sound acoustic features extraction based on frequency-domain blind deconvolution

2015 IEEE International Conference on Information and Automation Pub Date : 2015-10-01 DOI:10.1109/ICINFA.2015.7279781

Nan Pan, Zeguang Yi

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引用次数: 1

Abstract

Vehicle brake will produce several noise during braking process, it will influence the life of automotive components. Meanwhile, the sharp brake noise (screaming) will seriously interfere with people's normal life. Thus, the work of brake noise abnormal sound governance is very important. In this paper, the generation mechanism, features and influencing factors of brake are summarized. The theory and research progress on brake noise suppression and prevention are review and analyzed. For the outstanding problems of vehicle brake abnormal sound detection caused by lacking of detection and analysis methods, inconvenience of data processing and poor flexibility, a brake abnormal sound localization method based on frequency-domain blind signal processing was proposed. Its key technologies such as using unit fixed-point algorithms based on kurtosis maximization to separate and extraction complex components and solving permutation indeterminacy based on improved KL-distance were all introduced in detail. Finally, an actual brake failure acoustic signal extraction shows the effectiveness and reliability of this method.

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基于频域盲反卷积的制动声特征提取研究

汽车制动器在制动过程中会产生几种噪声，影响汽车零部件的使用寿命。同时，尖锐的刹车噪音(尖叫)会严重干扰人们的正常生活。因此，制动噪声异常声治理工作十分重要。本文综述了制动器的产生机理、特点及影响因素。综述和分析了汽车制动噪声抑制与防治的理论和研究进展。针对目前汽车制动异常声检测中检测分析方法缺乏、数据处理不便、灵活性差等突出问题，提出了一种基于频域盲信号处理的制动异常声定位方法。详细介绍了利用基于峰度最大化的单位不动点算法分离提取复杂成分和基于改进KL-distance的排列不确定性求解等关键技术。最后，通过实际的制动故障声信号提取，验证了该方法的有效性和可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2015 IEEE International Conference on Information and Automation

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