Moving Defect Localization of Wheel-Bearings with Particle Filter and MUSIC

Abstract:

To solve the problem of moving defect localization for wheel-bearings, a novel algorithm based on particle filter and multiple signal classification (MUSIC) is proposed in this paper. It introduces two-dimensional circular sensor array to measure acoustic signals of defective bearings. By through of MUSIC, the direction-of-arrivals (DOAs) of defective signal are firstly estimated. After the motion trajectory was calculated by particle filter and DOAs, the defect was located by reference sound source. The experimental results show that the radius and phase errors of proposed method are less than 2mm and 5 degrees.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 2021-2025
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.2021
• Online since: June 2014
• Authors: Si Jie Zhang, Bin Chen*, Bao Cheng Gao, Yuan Zhou
• Keywords: Circular Sensor Array, Defect Localization, Music, Particle Filter, Wheel-Bearing

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