DocumentCode :
45560
Title :
The Electrostatic Sensor Applied to the Online Monitoring Experiments of Combustor Carbon Deposition Fault in Aero-Engine
Author :
Liu Pengpeng ; Zuo Hongfu ; Sun Jianzhong
Author_Institution :
Coll. of Civil Aviation, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume :
14
Issue :
3
fYear :
2014
fDate :
Mar-14
Firstpage :
686
Lastpage :
694
Abstract :
According to the principle of gas path electrostatic monitoring in aero-engine, it has established aero-engine gas path electrostatic monitoring system that can tolerate the high-temperature and high-speed airflow. There was developing the research about the mechanism of combustor carbon deposition and online electrostatic monitoring, the fault of combustor carbon deposition in aero engine. It was chose eight stages data from the large scale data of online electrostatic monitoring experiments and being based the time of checking the combustor in aero engine, comparably analyzing rms and Kurtosis being extracted from the data as features. In order to regain the accurate charge signal and discard certain trend item, it uses least mean square to finish the transforming process that is from electrostatic voltage to electrostatic charge. The changes of exhaust gas path electrostatic level illustrate by the features, including active level, positive event rate, and negative event rate extracted from the electrostatic charge signal. It responds for the fault of combustor carbon deposition in aero-engine as well as a slight ablation fault in testing process by the features of electrostatic voltage and charge, respectively, which is being to verify the monitoring results by the report of the engine dismantled. The research of online electrostatic monitoring the fault of combustor carbon deposition in this paper would be the foundation to achieve the application of the technology in aircraft.
Keywords :
aerospace engines; aircraft testing; combustion equipment; electric sensing devices; electrostatic devices; fault diagnosis; least mean squares methods; monitoring; ablation fault; aeroengine exhaust gas path electrostatic monitoring system; aircraft; combustor carbon deposition fault; electrostatic charge; electrostatic sensor; electrostatic voltage; high-speed airflow; kurtosis extraction; least mean square; online electrostatic monitoring experiment; positive event rate extraction; transforming process; Carbon; Circuit faults; Electrostatics; Engines; Feature extraction; Monitoring; Temperature sensors; Aero engine; carbon deposition fault; combustor; electrostatic monitoring; fault detection;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2013.2284551
Filename :
6626601
Link To Document :
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