航空发动机失稳特征信号甄别

Instability Signal Detecting and Early Warning of Aero-Engine

针对航空发动机失稳时的重要表征——喘振信号开展检测、判别和处理方法的研究。通过失稳信号处理器实时获取压气机压力脉动数据,采用时域诊断分析方法完成对失稳信号的在线检测和预警。经压缩部件台架试验验证,失稳信号处理器能成功分离出喘振状态下的失稳信号特征,实现对失稳信号较为准确的捕获,采用的失稳判定方法有效。研究结果表明:失稳特征信号的实时、准确甄别,是发动机失稳主动控制的先决条件,提高失稳特征信号判别的正确率,可有效避免发动机失稳过程中信号的误判、漏判。

For the surge signal, an important instability characteristic of aero-engine, detection, identifica-tion and processing method research were carried out. Real time pressure data of compressor was obtained by instable signal processor and online detection and pre-warning were accomplished by time domain diag-nosis method. Bench test of compression components validated that signal processor successfully captured the instable signal and differentiated the characteristics with effective method. The results show that the ac-curate discrimination of real-time instable signal is the precondition for active control and the improvement of discrimination accuracy could effectively avoid the misjudgment or pretermission of signal.