摘要
为实现航空发动机附件的振动分析和状态监控,分析了油气分离器的典型故障模式,简述了振动分析方法相对传统油液分析方法的优点及其必要性与可行性,研究了油气分离器振动测试的发动机试车过程中数据采集方法,以及以频谱分析为核心的数据处理方法工程实现流程,给出了预先处理、详细处理和最后处理各功能单元的原理和算法。实例分析证明,该方法可从试车过程中高噪声的混合振动信号中有效提取出0.165 mm/s的微弱设备振动速度分量,从而对设备的故障状态进行有效监控。
In order to realize the vibration analysis and condition monitoring of aero engine accessory, the typical failure mode of oil and gas separator is analyzed, which shows the benefits of vibration analysis compared with the traditional oil analysis and which shows the necessity and feasibility of vibration analysis. Then the data acquisition method of vibration test about oil and gas separator during an engine test drive is studied. Moreover, a detailed study is given to the engineering realization process of data processing method based on spectrum analysis, with the theories and algorithems of beforehand process, detail process and final process be given. At last a practical application effect is presented which shows that the method can pick out 0. 165 mm/s weak vibration speed component of the equipment from the mixed vibration signal with high noise, so as to effectively diagnose the fault state of the equipment.
出处
《失效分析与预防》
2015年第2期96-101,共6页
Failure Analysis and Prevention
基金
江西省博士后日常资助(2013KY35)
关键词
航空发动机
振动分析
频谱分析
故障诊断
状态监控
aviation engine
vibration analysis
spectrum analysis
fault diagnosis
condition monitoring