基于马田系统的滚动轴承初始故障检测和状态监测

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (12) : 155-162.

论文

剡昌锋1 朱涛1 吴黎晓1 贝克1 郭剑锋2

作者信息 +

Incipient fault detection and condition monitoring of rolling bearings by using Mahalanobis-Taguchi System

YAN Chang-feng1 ZHU Tao1 WU Li-xiao1 Ahmed Y.Y1 GUO Jianfeng2

Author information +

文章历史 +

摘要

针对轴承寿命的四个阶段中振动信号特征参数的变化灵敏度不同，分析了特征参数对初始故障的敏感性和退化状态的相关性，提出了一种采用马田系统检测轴承初始故障和区分性能退化状态的方法。以对初始故障敏感和对退化状态相关的特征参数建立了马田系统的基准空间，并在马田系统中将两组特征参数融合为单一的特征参数马氏距离。由于MD1对滚动轴承初始故障的敏感性，检测轴承寿命在第一和第二阶段时出现初始故障的时间点。由于MD2随着滚动轴承性能退化状态而不断增大，依据其变化趋势判断轴承的退化状态。该方法避免了单一特征参数在不同运行环境中的不确定性和不稳定性，可以准确的检测出轴承的初始故障和判断轴承的退化状态。通过两组滚动轴承加速寿命试验，验证了该方法的有效性和准确性。

Abstract

Because the sensitivity of feature parameters of vibration signal are different with the four stage of bearing life, the sensitivity to incipient fault and the correlation of degradation condition are analyzed. A new method of incipient fault detection and performance degradation is presented by Mahalanobis-Taguchi System(MTS). The feature parameters which are sensitive to incipient fault and related performance degradation condition are regarded as a reference space for Mahalanobis-Taguchi System(MTS). Two groups of feature parameters are fused with single feature parameters in MTS of Mahalanobis distance. Since MD1 is more sensitive to incipient fault of bearings, it is used to detect the time of incipient fault during the first and second stages of bearing life. According to MD2 increasing with performance degradation, the degradation state of bearings is estimated by variation tendency. By using this method, the uncertainty and instability of single feature parameters can be avoided in different running condition. The incipient fault is also detected accurately and degradation condition of bearings life is distinguished. The validity and accuracy of this method are verified by the service life of rolling bearing in accelerated life test.

导出引用

剡昌锋1 朱涛1 吴黎晓1 贝克1 郭剑锋2. 基于马田系统的滚动轴承初始故障检测和状态监测[J]. 振动与冲击, 2017, 36(12): 155-162

YAN Chang-feng1 ZHU Tao1 WU Li-xiao1 Ahmed Y.Y1 GUO Jianfeng2. Incipient fault detection and condition monitoring of rolling bearings by using Mahalanobis-Taguchi System[J]. Journal of Vibration and Shock, 2017, 36(12): 155-162

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