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基于改进ITD和峭度准则的滚动轴承故障诊断方法
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国家自然科学基金资助项目(11072078);河北省自然科学基金资助项目(E2013502226)


The Method of Rolling Bearing Fault Diagnosis Based on Improved Intrinsic Timescale Decomposition and Kurtosis Criterion
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    摘要:

    给出了改进的固有时间尺度分解方法(Improved Intrinsic Timescale Decomposition,简称IITD)及端点效应评价指标。为了实现滚动轴承故障的精确诊断,提出了一种基于IITD和峭度准则的包络解调方法。该方法首先利用IITD将振动信号分解为一系列固有旋转分量(Proper Rotation Component,简称PRC),然后利用相关系数-峭度最大准则挑选包含故障信息最丰富的PR分量进行包络谱分析。为了验证该方法在应用中的有效性,针对轴承内圈故障,与EMD包络谱分析进行了比较,结果表明:该方法可以有效地提取滚动轴承故障特征信息,能够实现滚动轴承故障的精确诊断。

    Abstract:

    An improved ITD method and the end effect evaluation indexes were proposed. In order to realize the precise fault diagnosis of rolling bearing, an envelope demodulation method was proposed based on Improved Intrinsic Timescale Decomposition (IITD) and kurtosis criterion. In the method, the vibration signal was decomposed into several Proper Rotation Components (PRCs) by IITD, and then an envelope spectrum analysis was adopted with the PRC which selected by the maximal correlation coefficientkurtosis criterion. In order to verify the effectiveness of this method in the application, compared this method with the EMD envelope spectrum analysis for rolling bearing inner fault signals. The result shows that this method can efficiently extract the fault information and realize the precise fault diagnosis of rolling bearing.

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向玲,鄢小安.基于改进ITD和峭度准则的滚动轴承故障诊断方法[J].机床与液压,2015,43(11):178-181.
. The Method of Rolling Bearing Fault Diagnosis Based on Improved Intrinsic Timescale Decomposition and Kurtosis Criterion[J]. Machine Tool & Hydraulics,2015,43(11):178-181

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  • 在线发布日期: 2015-11-11
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