基金项目:装发部预先研究项目(4140040202)
作者简介:孙百红(1975—),女,硕士,高级工程师,研究领域为液体火箭发动机信号处理与分析技术
发动机试车数据分析在发动机故障诊断中发挥着重要作用,某型号发动机试车多次出现关键部位焊缝开裂及燃料泄漏等故障,根据液体火箭发动机试车不同阶段信号特点,给出了试车信号的处理和分析方法,对该型号发动机16次试车振动信号进行处理、分析及对比,得到了正常和出现故障的试车信号频域的不同特征,提出一种基于特征频段RMS值的发动机故障识别方法,此方法可以用于发动机试车过程故障的实时监测,对于确保试车产品安全、预防试车破坏性灾难具有一定的实际意义。
The analysis of test data plays an important role in engine fault diagnosis.Several faults,such as cracking of weld seam and fuel leakage,have occurred in key parts of an engine during hot test.According to the signal characteristics of different stages of liquid rocket engine test,the processing and analysis methods of test signal were given,and the vibration signals of 16 tests of this type engine were processed,analyzed and compared.The different characteristics of the normal and unnormal tests dada were obtained and a method of engine fault identification based on RMS(Root Mean Square)value of the characteristic band was proposed.This method can be used in fault real-time monitoring for engine tests,which is useful for ensuring safety of tested engine and preventing catactrophic consequnce during hot-tests.