%0 Journal Article
%T 改进ITD和切片双谱的曳引机减速器故障特征提取<br>Extracting Fault Features of Tractor Reducer with Improved ITD Method and Slice Bispectrum
%A 傅其凤
%A 宋子博
%A 李松
%J 机械科学与技术
%D 2018
%X 为有效识别曳引机减速器的故障特征频率，提出基于改进固有时间尺度分解（ITD）和切片双谱的故障诊断方法，采用分段三次Hermit插值求取信号的包络线，将减速器故障信号分解为若干个固有分量，选取相关分量并求取切片双谱，通过对比正常状态下频谱图与切片双谱，在剔除非二次相位耦合信息的基础上找到故障特征频率。通过仿真验证和诊断实例证明改进ITD和切片双谱能够有效剔除非二次相位耦合信息，实现对故障特征的准确提取。<br>To effectively identify the fault features of a tractor reducer, a fault diagnosis method based on the improved inherent time-scale decomposition (ITD) and slice bispectrum is proposed. The improved ITD method adopted the segmented cubic Hermit interpolation to obtain the envelope of the signal, and is used to decompose the reducer fault signal into several inherent components, the correlation component is selected and the slice bispectrum is obtained. Based on the nonlinear characteristics of the secondary phase coupling, the frequency of fault feature is found by comparing the spectral spectrum with the slice bispectrum. The simulation results show that the improved ITD method and slice bispectrum can eliminate the information on non-quadratic phase coupling and extract fault features accurately
%K 减速器
%K 分段三次Hermit差值
%K 切片双谱
%K 二次相位耦合
%K 特征提取&lt
%K br&gt
%K inherent time-scale decomposition (ITD)
%K diagnosis
%K feature extraction
%K frequency
%K phase
%K tractor reducer
%K slice bispecturm
%U http://journals.nwpu.edu.cn/jxkxyjs/CN/abstract/abstract6963.shtml