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基于角域平均和倒阶次谱分析的齿轮箱故障诊断
引用本文:杨通强,郑海起,唐力伟,栾军英. 基于角域平均和倒阶次谱分析的齿轮箱故障诊断[J]. 机械科学与技术, 2006, 25(4): 452-454
作者姓名:杨通强  郑海起  唐力伟  栾军英
作者单位:军械工程学院,石家庄,050003;军械工程学院,石家庄,050003;军械工程学院,石家庄,050003;军械工程学院,石家庄,050003
基金项目:中国科学院资助项目;高等学校博士学科点专项科研项目;军械工程学院校科研和教改项目
摘    要:本文研究旋转机械非稳态信号的分析方法。对等时间间隔采样的齿轮箱振动信号,利用插值算法实现角域重采样。为了抑制与工频无关的噪声信号以提高信噪比,对重采样信号进行了角域平均。将倒频分析引入阶次分析中,以检测出功率谱中难以辨识的周期性。以上方法成功地识别了齿根裂纹故障,说明了对旋转机械非稳态信号进行角域平均和倒阶次谱分析的可行性和有效性。

关 键 词:阶次跟踪  齿轮箱  故障诊断  倒频分析  角域平均
文章编号:1003-8728(2006)04-0452-03
收稿时间:2005-06-30
修稿时间:2005-06-30

Gearbox Fault Diagnosis Based on Angle Domain Averaging and Order Cepstrum Analysis
Yang Tongqiang,Zheng Haiqi,Tang Liwei,Luan Junying. Gearbox Fault Diagnosis Based on Angle Domain Averaging and Order Cepstrum Analysis[J]. Mechanical Science and Technology for Aerospace Engineering, 2006, 25(4): 452-454
Authors:Yang Tongqiang  Zheng Haiqi  Tang Liwei  Luan Junying
Affiliation:Ordnance Engineering College, Shijiazhuang 050003
Abstract:The rotary machine′s non-stationary vibration signal analysis method is studied.Angle domain signals are resampled from time domain signals through using interpolation algorithm.The angle domain averaging is preformed on the resampled signals so as to depress the noise signals not related to axial frequency.Cepstrum analysis is introduced to order analysis in efforts to identify the periodic information hidden in the power spectrum.The analysis successfully diagnozes gear root crack faults,indicating that the above analysis is feasible and effective for the angle domain averaging of the non-stationary signals of a rotary machine.
Keywords:order tracking    gearbox   fault diagnosis   cepstrum    angle domain averaging
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