故障特征的选择与提取是旋转机械故障诊断技术的关键环节,选择合适的信号处理方法对旋转机械故障振动信号进 行特征提取至关重要,时频分析方法一直是学者们研究的热点.在研究大量文献的基础上,分析了近几年来国内外旋转机 械故障特征的选择与提取的研究现状,综述了研究者们在旋转机械故障特征提取过程中所采用的各种时频分析方法,并对 其进行分类,最后指出了故障特征提取有待进一步研究和探索的问题.
Feature selection and extraction is one of the key techniques in rotating machinery diagnostics, so it is very important to choose an appropriate signals process method to extract fault feature. Time - frequency analysis method has always been a research hotspot. This paper conducts a great deal of literature study, analyzes research situation of fault feature selection and extraction both at home and abroad in re-cent years, reviews various time - frequency analysis methods and classifies them. At the end, issues of further research and exploration are pointed out.