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基于改进Duffing理论的轴承微弱故障信号判断
引用本文:任学平,刘桐桐.基于改进Duffing理论的轴承微弱故障信号判断[J].噪声与振动控制,2014,34(1):173-177.
作者姓名:任学平  刘桐桐
作者单位:1. 内蒙古科技大学机械工程学院2. 内蒙古科技大学
基金项目:内蒙古自治区自然科学基金项目(基金编号:2012MS0717)
摘    要:分析了传统Duffing振子混沌系统的基本理论对检测微弱信号的不足,给出了基于改进之后的Duffing振子检测微弱信号的新方法。改进后的方法能够弥补传统方法对系统固有频率的限制,检测具有较大固有频率的微弱信号。本文主要利用传统方法和改进方法分别对轴承外圈故障信号进行验证性分析,发现改进方法能更好的找出微弱故障信号。通过对仿真信号分析和轴承故障诊断实验,结果验证了本文方法的有效性。

关 键 词:混沌理论  Duffing振子  改进算法  信号检测  轴承故障  chaos  theory  Duffing  oscillator  improved  algorithm  signal  detection  Bearing  fault  
收稿时间:2013-03-19

Detection of Weak Fault Signals of Bearings Based on the Improved Duffing Theory
REN Xue-ping,LIU Tong-tong.Detection of Weak Fault Signals of Bearings Based on the Improved Duffing Theory[J].Noise and Vibration Control,2014,34(1):173-177.
Authors:REN Xue-ping  LIU Tong-tong
Affiliation:( Mechanical Engineering School, Inner Mongolia University of Science and Technology,Baotou 014010, Neimenggu China )
Abstract:The shortcoming of the fundamental theory of traditional Duffing oscillator chaotic system for weak signaldetection is analyzed, and a new method for the detection based on improved Duffing oscillator is proposed. This methodcan break through the limitation of natural frequency in the traditional method. It can detect the weak signal with largenatural frequencies. In this paper, the fault signal of the outer ring of a bearing is analyzed using the traditional and thecurrent improved method respectively. The results show that the improved method can find the weak fault signal better thanthe other one. The results from simulation signal analysis and bearing fault diagnosis experiments are in good agreement,which shows that the method proposed in this paper is effective.
Keywords:vibration and wave  chaos theory  Duffing oscillator  improved algorithm  signal detection  bearing fault
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