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基于振动信号分析的极端环境下循环泵可靠性评估
引用本文:曹 智,李振祥,伏洪勇.基于振动信号分析的极端环境下循环泵可靠性评估[J].电子测量与仪器学报,2021,35(8):93-98.
作者姓名:曹 智  李振祥  伏洪勇
作者单位:中国科学院空间应用工程与技术中心太空应用重点实验室 北京100094;中国科学院大学 北京100049;中国科学院空间应用工程与技术中心太空应用重点实验室 北京100094
摘    要:可靠性评估是保证机械设备安全正常运行的重要技术手段。 在航天设备中应用的循环泵需要经历火箭发射阶段以及 航天器在轨运行阶段的极端环境,为了研究火箭发射和航天器在轨等极端环境下循环泵的可靠性,在地面构建了一整套的可靠 性试验系统,并进行了数次模拟实验,采集了相关数据。 分别通过时域特征参数分析法和小波降噪-Hilbert 包络分析法来对模 拟实验过程中采集到的振动信号进行数据分析处理,根据分析结果对循环泵进行可靠性评估,结果表明循环泵的可靠性满足航 天设备在极端环境下的使用要求。

关 键 词:可靠性  时域特征  小波变换  包络谱

Reliability evaluation of circulating pumps in extreme environments based on vibration signal analysis
Cao Zhi,Li Zhenxiang,Fu Hongyong.Reliability evaluation of circulating pumps in extreme environments based on vibration signal analysis[J].Journal of Electronic Measurement and Instrument,2021,35(8):93-98.
Authors:Cao Zhi  Li Zhenxiang  Fu Hongyong
Affiliation:1. Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences,2. University of Chinese Academy of Sciences
Abstract:Reliability assessment is an important technical means to ensure the safe and normal operation of mechanical equipment. Circulating pumps used in aerospace equipment need to experience extreme environments during the rocket launch phase and the spacecraft in orbit phase. In order to study the reliability of the circulating pump in extreme environments such as rocket launch and spacecraft in orbit, a complete set of Reliability test system, several simulation experiments have been carried out, and relevant data have been collected. This paper uses time-domain characteristic parameter analysis and wavelet denoising-Hilbert envelope analysis to analyze and process the vibration signals collected during the simulation experiment. According to the analysis results, the reliability of the circulating pump is evaluated. The results show that the reliability of the circulating pump meets the requirements for use of aerospace equipment in extreme environments.
Keywords:reliability  time domain characteristics  wavelet transform  spectral envelope
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