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作 者:刘岳鹏[1] 周磊[1] 金诚[1] Liu Yuepeng;Zhou Lei;Jin Cheng(Beijing Institute of Aerospace Testing Technology,Beijing 100074,China)
出 处:《低温工程》2022年第2期59-64,共6页Cryogenics
基 金:国防科工局技术基础科研项目:液体火箭发动机高速旋转部件应力波健康检测技术研究(JSZL2018203C012)。
摘 要:为了提升液体火箭发动机早期故障识别能力与效率,提出一种基于应力波技术的发动机涡轮泵故障检测方法。介绍了应力波信号的产生机理、获取途径和检测原理,针对液体火箭发动机试验特点,研究了应力波检测技术在低温环境下进行应用的解决方案,搭建了用于YF-XX发动机涡轮泵故障模式识别的应力波检测系统。经过试验测试表明,应力波信号的分析结果中能够提取出氢泵和氧泵的6倍转速频率,与振动数据的分析结果具有较好的一致性,且有效避免了低频噪声的影响,有利于对故障模式的分析。验证了应力波技术在液体火箭发动机试验任务中的可行性。In order to improve the early fault identification ability and efficiency of liquid rocket engine,a fault detection method of engine turbo pump based on stress waves technology was proposed. The generation mechanism,acquisition method and detection principle of stress waves were introduced. Aiming at the characteristics of liquid rocket engine test,the solution of stress waves detection technology applied in cryogenic environment was studied. The stress waves system for the turbo pump of YF-XX engine was built,by which the failure patterns were identified. Experimental tests show that the analysis results of the stress waves signal can extract 6 times the speed frequency of the hydrogen pump and the oxygen pump,which has good consistency with the analysis results of the vibration data. And the influence of low-frequency noise is effectively avoided,which is beneficial to the analysis of failure mode. The feasibility of the stress waves technology in the test task of the liquid rocket engine is verified.
分 类 号:TB663[一般工业技术—制冷工程]
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