空间轴承可靠性识别与故障诊断技术研究

Xiaokai Huang, Shouqing Huang, Huiming Zheng, Shouwen Liu
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引用次数: 0

摘要

在空间轴承的使用过程中,存在可靠性特征难以识别、故障诊断方法缺乏等问题。首先,根据可靠性增强试验原理,设计了标准大气压下的温度应力阶跃试验和使用温度下的真空度阶跃试验,构建了满足控制测量要求的空间轴承试验系统。然后,在采集0r/min和1000r/min转速下的振动响应数据后,利用EEMD算法进行数据融合和去噪,识别时频数据的小波能谱,即可靠性特征,研究可靠性特征随应力变化的故障状态。其次,针对不同运行时刻的振动响应数据,基于Hilbert变换进行数据融合去噪和幅度特征提取;通过快速傅立叶变换获取不同频率段幅值特征的能量分布,即可靠性特征,研究可靠性特征随时间的故障状态。最后,通过仿真分析,识别出相应故障状态的机理和规律,并建立故障状态与试验识别出的仿真机制之间的诊断关系,为在轨健康监测和故障管理提供支持。
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Research on Reliability Identification and Fault Diagnosis Technology of Space Bearings
In the process of using space bearing, there are some problems such as the difficulty in identifying reliability characteristics, and the lack of fault diagnosis methods. Firstly, based on the reliability enhancement test principle, the temperature stress step test under standard atmospheric pressure and the vacuum degree step test at the use temperature are designed, and a space bearing test system that meets the control and measurement requirements is constructed. Then, after collection of the vibration response data under the condition of 0r/min and 1000r/min rotation speed, the wavelet energy spectrum of time-frequency data, which is the reliability characteristics, are identified using EEMD algorithm for data fusion and de-noising to study the fault state that reliability characteristics change with stress. Next, with the vibration response data of different running moments, data fusion de-noising and amplitude feature extraction are carried based on Hilbert transform. By obtaining the energy distribution of amplitude features in different frequency segments by fast Fourier transform, which is the reliability characteristic, the fault state of reliability characteristics over time is studied. Finally, through the simulation analysis, the mechanism and law of the corresponding fault state are identified, and the diagnostic relationship between the fault state and the simulation mechanism identified by the test is established, which can provide support to the on-orbit health monitoring and fault management.
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