摘要
针对滚动轴承故障特征，提出了一种自适应冲击字典匹配追踪方法。根据轴承故障信号的产生机理，将轴承的转速、尺寸等因素引入到字典中，建立了一种基于故障信号特征的新型字典模型。依据字典模型中各个关键参数对分析结果的影响程度，确定冲击位置信息为首要模型参数，提出了逐次改变特性参数的方法建立自适应字典，使得字典中的每一个原子都与被分析信号有很好的相似度，降低了字典的冗余程度，提高了字典的使用效率。同时结合匹配追踪原理建立了自适应冲击字典匹配追踪的方法。仿真信号，实验信号和工程信号分析结果表明，基于自适应冲击字典匹配追踪方法可以对轴承不同位置的故障进行有效诊断。将该方法与遗传算法匹配追踪进行比较，表明该方法的处理效果更佳。
Abstract
This paper presents a kind of self-adaptive impulse dictionary matching pursuit for bearing fault diagnosis. Firstly, establish a new dictionary model accordance with the characteristics of bearing based on the structural characteristics of signals and combined the element of rolling speed, size etc to the dictionary. At the same time, analysis impacts on the result of every parameter in this model, creating dictionary called self-adaption dictionary by changing parameters gradually. Self-adaption impulse dictionary determined the location parameter primarily, it could improve the calculation speed and accuracy of matching pursuit because the dictionary’s redundancy is reduced and every atom in the dictionary have great similarity with the fault signal. In the end, the algorithm of self-adaptive impulse dictionary matching pursuit was applied in experimental signals, and the result proved that this algorithm could diagnosis fault in different location effectively.
关键词
轴承故障诊断 /
自适应冲击字典 /
匹配追踪 /
遗传算法
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Key words
Bearing fault diagnosis /
Self-adaption impulse dictionary /
Matching pursuit /
Genetic algorithms
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崔玲丽;王 婧;邬 娜;高立新.
基于轴承故障信号特征的自适应冲击字典匹配追踪方法及应用[J]. 振动与冲击, 2014, 33(11): 54-60
CUI Ling-li;WANG Jing;WU Na;Gao Li-xin.
Bearing fault diagnosis based on self-adaption impulse dictionary matching pursuit[J]. Journal of Vibration and Shock, 2014, 33(11): 54-60
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