Research of Pure Tone Detection for Faulted On-Vehicle Loudspeakers Based on Image Fractal

Abstract:

At present, the detection accuracy of monitoring method by human ears is not satisfying in the pure tone detection of on-vehicle loudspeakers. To solve this problem, a new method is proposed to convert vehicle loudspeakers response signals into a two-dimensional image signal via wavelet packet analysis, which can increase the time-frequency of malfunction information. Through image binaryzation and pretreatment image-edge detection, the resulting signal would be recognized with box-counting dimension acquired in the process of gaining time-frequency image through fractal dimension as malfunctioned indications. Experiments show a rate of fault recognition as high as 95% , which meet the requirements of online vehicle loudspeaker detection.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 171-174
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.171
• Online since: February 2014
• Authors: Gui Ling Tan, Yu Ming Qi*, San Peng Deng, De Hua Miao, Wen Hua Gao
• Keywords: Abnormal Sound of On-Vehicle Loudspeaker, Faulted Information Recognition, Fractal Image, Wavelet Packet Analysis

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