基于阶频谱相干的变转速滚动轴承内外圈复合故障特征分离提取

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摘要针对变转速工况下复合故障相互耦合，较弱的故障特征易受干扰，难以识别的问题。本文提出一种基于阶频谱相干(Order-Frequency Spectral Coherence, OFSCoh)解调频带确定的复合故障特征分离提取方法，应用于变转速工况下滚动轴承复合故障诊断。首先，对信号进行OFSCoh计算；然后，以轴承内、外圈对应的故障阶次区间分别对OFSCoh函数进行积分获得特征频带谱，将特征频带谱中最大值对应的频率确定为解调频带中心频率，以最大转频对应的3倍故障频率作为解调带宽；分别对信号进行带通滤波，并计算其改进包络谱(Improved Envelope Spectrum, IES)，从而实现轴承复合故障特征分离提取。仿真和实验证明了本文方法的有效性。
关键词：滚动轴承；变转速工况；阶频谱相干；特征频带谱；复合故障

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	杨新敏
	郭瑜
	华健翔

关键词 ：滚动轴承, 变转速工况, 阶频谱相干, 特征频带谱, 复合故障

Abstract：Aiming at the problem that compound faults coupling with each other and weak fault features are easy to be interfered and difficult to be identified under the condition of variable speed. In this paper, a method of compound fault features separation and extraction based on demodulation frequency band determination of order-frequency spectral coherence(OFSCoh ) is proposed, which is applied to compound faults diagnosis of rolling bearings under variable speed conditions. Firstly, the signal is calculated by the OFSCoh method. Then, the characteristic frequency band spectrum is obtained by integrating the OFSCoh with the failure order interval of inner and outer race of the bearing, and the fre-quency corresponding to the maximum value in characteristic frequency band spectrum is determined as the center fre-quency of the demodulation band, and the maximal speed frequency is corresponding to 3 times the fault frequency is taken as the bandwidth. Finally, the signal is filtered by band pass, and the improved envelope spectrum(IES) is calculated, so as to realize the separation and extraction of bearing compound fault features. Simulation and experiment verify the effectiveness of the proposed method.
Key words: rolling element bearing; variable speed condition; order-frequency spectral coherence; characteristic frequency band spectrum; compound faults

Key words： rolling element bearing variable speed condition order-frequency spectral coherence characteristic frequency band spectrum compound faults

收稿日期: 2021-09-08 出版日期: 2022-11-28

引用本文:

杨新敏，郭瑜，华健翔. 基于阶频谱相干的变转速滚动轴承内外圈复合故障特征分离提取[J]. 振动与冲击, 2022, 41(22): 211-218.
YANG Xinmin,GUO Yu,HUA Jianxiang. Feature separation and extraction of compound faults of inner and outer rings of rolling bearings at variable speed based on order-frequency spectral coherence. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(22): 211-218.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2022/V41/I22/211

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