基于小波和模糊模式识别的齿轮故障诊断

摘要

利用小波把齿轮振动信号分解到独立的频带里，提供无冗余、无疏漏的诊断信息。使用各个独立频带内的能量作为信号的特征量，然后用模糊模式识别方法对待征量进行定性分类，从而确定状态类型。结果表明，特征量是有效的，齿轮状态得到了较好的分类。%Gear signal was decomposed into independent frequency band,giving diagnosis information without slipping and redundancy.The power of every frequency band was used as the signal characteristic value,then the signal characteristic value was identified by fuzzy pattern recognition,thus the fault was decided.Results showed that the signal characteristic value was effective and the fault was well identified.