基于迭代广义解调算法的变转速滚动轴承复合故障特征的提取

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (4) : 177-183.

论文

赵德尊1 李建勇1.2 程卫东1 温伟刚1

作者信息 +

Multi-fault feature detection of rolling element bearing by iterative generalized demodulation algorithm under time-varying rotational speed

ZHAO Dezun1 LI Jianyong1.2 CHENG Weidong1 WEN Weigang1

Author information +

文章历史 +

摘要

变转速工作模式使得本来就互相干扰、彼此联系的滚动轴承复合故障特征的提取更加困难。为此提出了基于迭代广义解调算法的变转速滚动轴承复合故障特征提取方法。该方法根据复合故障轴承信号包络时频谱中代表故障特征频率的时频曲线的突出性，结合迭代广义解调算法可以将特定时频曲线转换成平行于时间轴的直线这一特点，直接对滚动轴承振动信号中的特定成分进行分析和提取。整个算法由以下四部分组成：首先，对同步测取的故障轴承转速脉冲信号进行处理得到转频曲线，根据转频曲线以及目标轴承的故障特征系数确定迭代广义解调算法需要的相位函数；其次，对故障轴承信号进行包络分析获取包络信号；再次，根据计算的相位函数对故障轴承包络信号进行迭代广义解调；最后对解调信号进行频谱分析，通过分析频谱中独立峰的位置对滚动轴承的健康状况进行判断。仿真与实验结果表明，该算法可以消除转速变化对滚动轴承复合故障特征的影响，有效实现复合故障特征的识别和提取。

Abstract

Due to the variable rotational speed, it is more difficult to extract multi-fault features of rolling element bearing, which may tightly couple together and interfere with each other. As such, a new multi-fault feature extraction method based on the iterative generalized demodulation algorithm is proposed. We utilize the time-frequency characteristics of the compound faults bearing signal and the merits of the generalized demodulation algorithm which can transform an interested curved time-frequency component of the non-stationary signal into linear path paralleling to the time axis to directly extract the multi-fault features. The proposed method can be summarized as four parts: obtain the equation of rotational frequency curve by rotational speed pulse signal, the phase functions and phase points are calculated based on the fault characteristic coefficient and the rotational frequency equation; calculate the envelope signal by the Hilbert transform; demodulate the envelope signal by the iterative generalized demodulation algorithm; obtain the frequency spectrum of demodulated signal to detect fault feature. The studies of simulated and experimental multi-fault bearing signals validate that the proposed method is reliable to diagnose multi-fault bearing under time-varying rotational speed.

导出引用

赵德尊1 李建勇1.2 程卫东1 温伟刚1. 基于迭代广义解调算法的变转速滚动轴承复合故障特征的提取[J]. 振动与冲击, 2018, 37(4): 177-183

ZHAO Dezun1 LI Jianyong1.2 CHENG Weidong1 WEN Weigang1. Multi-fault feature detection of rolling element bearing by iterative generalized demodulation algorithm under time-varying rotational speed[J]. Journal of Vibration and Shock, 2018, 37(4): 177-183

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