基于2D-MUSIC算法L型声阵列的轴承故障研究

随着传感器阵列技术的发展,越来越多阵列技术用于设备的故障诊断研究中。针对设备中多滚动轴承诊断中故障的定性与定位问题,开展了基于2D-MUSIC算法L型声阵列的轴承故障定位理论仿真研究,旨在进行阵列参数的优化。根据滚动轴承声学信号特性,进行L型麦克风阵列下利用2D-MUSIC算法对双声源信号进行仿真计算,通过改变信噪比、阵元间距以及阵元数量等参数进行仿真分析,确定最优声阵列参数。仿真结果表明,在两个信号源确定的情况下,通过优化阵列参数可以提高其故障定位分辨率并对声源定位系统进行优化。研究对于有轨机车多轴承驱动系统轴承故障的快速定位和实时诊断技术有较好的理论指导意义。

Research on bearing fault location based on L-type acoustic array based on 2D-MUSIC algorithm

With the development of sensor array technology, more and more array technology is used in the fault diagnosis research of equipment. In this paper, based on the fault characterization and positioning problem in multi rolling bearing diagnosis in equipment, a theoretical study on bearing fault location theory based on 2D MUSIC algorithm L type acoustic array is carried out. The main purpose of the research is to optimize the array parameters. According to the acoustic signal characteristics of the rolling bearing, the 2D MUSIC algorithm is used to simulate the dual source signal under the L type microphone array. Then, by changing the parameters of SNR, array spacing and array number, the optimal acoustic array parameters are determined. The simulation results show that, under the condition that the two signal sources have been determined, by optimizing array parameters, fault location resolution can be improved and sound source location system can be optimized. The research has a good theoretical guiding significance for the rapid positioning and real time diagnosis technology of bearing faults in multi bearing drive systems of rail locomotives.