摘要
这份报纸详细基于分离小浪转变和 multiresolution analysis.In 详细说明了精力光谱分析的原则特征抽取方法学习的方面，与在颤动信号并且就非平稳而言调查影响因素的特征并且颤动诊断信号非线性，有缺点的信号特征 description.Experimental 结果的工具证明了这 method.To 的有效性是某 e 的 autbors
This paper expounded in detail the principle of energy spectrum analysis based on discrete wavelet transformation and multiresolution analysis. In the aspect of feature extraction method study, with investigating the feature of impact factor in vibration signals and considering the non-placidity and non-linear of vibration diagnosis signals, the authors import wavelet analysis and fractal theory as the tools of faulty signal feature description. Experimental results proved the validity of this method. To some extent, this method provides a good approach of resolving the wholesome problem of fault feature symptom description.
