The Open Automation and Control Systems Journal

2014, 6 : 885-893
Published online 2014 December 31. DOI: 10.2174/1874444301406010885
Publisher ID: TOAUTOCJ-6-885

Research on Modeling and Faults Diagnosis of Aero-engine Ignition System

Xu Meng , Yin Yaping and Xia Youbin
Aeronautical Automation College, Civil Aviation University of China, Tianjin, China.

ABSTRACT

Aero-engine ignition system, which includes ignition power, ignition exciter, ignition lead and ignition spark plugs, is the core of the engine. The reliability of an ignition system is a key factor whether the engine can run safely and efficiently or not. For improving the safety and continuing airworthiness of the aircraft, it is highly meaningful to do some research on the faults diagnosis of ignition system. This paper mainly focuses on the diagnosis method research and diagnosis system design of aero- engine ignition system faults. In order to cope with this problem, the ignition system mathematical model was designed and with which we can simulate ignition system faults and establish an ignition system theory database. Then experimental system was built to simulate the real ignition system faults to generate ignition system simulation database. Based on the ignition system fault database, the waveform image matching algorithm was used to achieve the real ignition waveform comparison with waveform in faults database. At last, ignition system faults diagnosis system is presented based on diagnostic platform and industrial control computer equipped with high-speed data acquisition card. The analysis result suggests that the ignition system faults diagnosis system can identify typical ignition faults accurately.

Keywords:

Aero-engine, Ignition system, Mathematical model, Faults diagnosis, Faults database, Waveform image matching.