气路静电监测技术在涡喷发动机试车中的应用

中国机械工程 ›› 2013, Vol. 24 ›› Issue (20): 2758-2763,2790.

气路静电监测技术在涡喷发动机试车中的应用

刘鹏鹏;左洪福;孙见忠;蔡景

南京航空航天大学，南京，210016

出版日期:2013-10-25 发布日期:2013-10-25
基金资助:
国家自然科学基金与中国民航基金联合资助重点项目(60939003)；江苏省普通高校研究生科研创新计划资助项目（CXLX12_0164）；南京航空航天大学专项科研项目（NS2010171）
National Natural Science Foundation of China（No. 60939003）

Research on Gas Path Electrostatic Monitoring Technology Being Used in a New Turbojet Engine

Liu Pengpeng;Zuo Hongfu;Sun Jianzhong;Cai Jing

Nanjing University of Aeronautics and Astronautics,Nanjing,210016

Online:2013-10-25 Published:2013-10-25
Supported by:

National Natural Science Foundation of China（No. 60939003）

摘要/Abstract

摘要：

将气路静电监测技术应用于涡喷发动机状态监控。在利用静电电压信号计算电荷信号的过程中，利用最小二乘法解决了电荷信号存在漂移趋势的问题。分析了试车过程中电荷信号及其特征参数，表明航空发动机燃烧室积碳故障能够引起静电信号特征参数出现异常变化。结合模糊数学理论并借鉴民航发动机故障图方法，建立了某型涡喷发动机试车过程中的分解决策模型，采用实际数据验证了该模型能在一定程度上解决试车过程中发动机存在的过分解和欠分解的工程实际问题。

关键词: 涡喷发动机, 气路, 静电监测, 维修决策

Abstract:

A turbojet engine gas path electrostatic monitoring technology used in engine condition monitoring was studied herein. In the process of calculating charge signals by the electrostatic voltage, LMS(least mean square) can solve the problem that existed some driff trend in the electrostatic charge signals. The features of the electrostatic signals were responded for the engine combustion chamber deposits failure of the certain engine in testing process. Finally, it assumed a decomposition of decision-making model in a turbojet engine test combining the theory of fuzzy mathematics and the failure maps of the civil aviation engine. Actual data is liberal to verify the model that can solve practical engineering problems of decomposed and less decomposition in the engine testing process.

Key words: turbojet engine, gas path, electrostatic monitoring, maintenance decision

中图分类号:

V231.25

刘鹏鹏;左洪福;孙见忠;蔡景. 气路静电监测技术在涡喷发动机试车中的应用[J]. 中国机械工程, 2013, 24(20): 2758-2763,2790.

Liu Pengpeng;Zuo Hongfu;Sun Jianzhong;Cai Jing. Research on Gas Path Electrostatic Monitoring Technology Being Used in a New Turbojet Engine[J]. China Mechanical Engineering, 2013, 24(20): 2758-2763,2790.

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