基于关联维数G-P算法的齿轮故障诊断

Fault Diagnosis of Gear Based on Correlative Dimension

基于关联维数的齿轮故障诊断方法,通过研究关联维数的G-P算法,确定嵌入维数这一重要参数,由此计算齿轮在不同状态下的振动信号的关联维数。最后发现嵌入维数逐渐增大时,关联维数趋于稳定,而且不同状态下的关联维数明显不同。

Through discussing gear faults diagnosis method based on correlative dimension, analyzing G-P algorithm, and confirming the important parameter-embedding dimension, the correlative dimensions of gear in different work conditions are calculated. The results show that the correlative dimension becomes steady with the increase of the embedding dimension and the correlative dimensions of gear in different work conditions are obviously different.