论文部分内容阅读
航空发动机在工作过程中,滑油系统的健康状况直接影响飞机飞行的安全性,然而在飞机发动机故障中,滑油系统故障又占用相当大的比例。因此本文首先从涡扇发动机滑油系统故障模式分析入手,得到常见滑油故障类型。然后根据实际可测量的信号设计故障诊断算法,包括基于单参数的直接诊断算法、基于单参数趋势分析的故障诊断算法、基于双参数趋势分析的故障诊断算法、基于四参数变化率的故障诊断算法。最后在滑油系统全数字仿真平台上验证了故障诊断算法的有效性,为后续在半物理仿真平台及发动机整机上验证打下了基础。
Aeroengine in the process of work, the health of the oil system directly affects the safety of the aircraft flight, however, in the aircraft engine failure, the oil system failure and takes up a considerable proportion. Therefore, this paper starts with the analysis of the turbofan engine oil system fault modes, and obtains the common type of oil fault. Then the fault diagnosis algorithm is designed based on the actual measurable signals, including single parameter based direct diagnosis algorithm, single parameter trend analysis based fault diagnosis algorithm, two parameter trend analysis based fault diagnosis algorithm, four parameter rate of change based fault diagnosis algorithm . Finally, the validity of the fault diagnosis algorithm is verified on the digital simulation platform of oil system, which lays the foundation for the subsequent verification on semi-physical simulation platform and engine.