基于整周期时域回归识别滚子间距变化的保持架故障诊断方法

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振动与冲击 ›› 2019, Vol. 38 ›› Issue (17) : 45-50.

论文

李修文1, 2，唐德尧2，杨荣华1, 2

作者信息 +

Cage fault diagnosis method based onroller spacing variation recognition with full-cycletime domain regression

LI Xiuwen1,2, TANG Deyao2, YANG Ronghua1,2

Author information +

文章历史 +

摘要

针对目前轨道交通领域大量出现使用非金属保持架取代金属保持架，使得保持架发生故障后无法产生周期性金属碰撞信息而难以有效识别的问题，提出了基于整周期时域回归识别滚子间距变化的保持架故障诊断方法。通过采集含有滚子通过外环承载区应力信息的振动信号，首先进行跟踪采样频率修正，再按保外周期进行整周期化，同时保留外环频率及各滚子抖动的边频信息进行频域滤波，最后利用极大值得到各滚子间隔信息，从而识别保持架是否出现故障。通过仿真和实际非金属保持架轴承信号应用表明，本方法能够有效提取到反映各滚子间隔是否异常的有用信息，从而实现保持架的故障诊断。

Abstract

Aiming atthe problem of large amount of non-metal cages being used to replace metal ones in rail transitfield to make it unable to produce periodic metal collision information after cages having faults for their recognition, a cage fault diagnosis method based on roller spacing variation recognition with the whole periodic time domain regression was proposed.Firstly, vibration signals containing stress information of roller passing outer ring’s load-bearing zone were collected, and sampling frequency was tracked and corrected.Then these signals were full-cycled according to cage outer cycle.At the same time, outer-ring frequencies and side frequency information of roller jitter werereserved forfiltering in frequency domain.Finally, per roller spacing information was obtained using the maximum value principle to identify if cage fault happening.Simulation and signals of actual rolling bearings with non-metallic cage showed that the proposed method can be used to effectively extract useful information reflectingif per roller spacing is abnormal to realize fault diagnosis of cages.

导出引用

李修文1, 2，唐德尧2，杨荣华1, 2. 基于整周期时域回归识别滚子间距变化的保持架故障诊断方法[J]. 振动与冲击, 2019, 38(17): 45-50

LI Xiuwen1,2, TANG Deyao2, YANG Ronghua1,2. Cage fault diagnosis method based onroller spacing variation recognition with full-cycletime domain regression[J]. Journal of Vibration and Shock, 2019, 38(17): 45-50

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