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基于机匣加速度信号的航空发动机转静碰摩部位识别
引用本文:于明月,陈果,姜广义,李成刚,冯国全,王德友.基于机匣加速度信号的航空发动机转静碰摩部位识别[J].中国机械工程,2014,25(8):1102-1108.
作者姓名:于明月  陈果  姜广义  李成刚  冯国全  王德友
作者单位:1.南京航空航天大学,南京,210016 2.沈阳航空发动机设计研究所,沈阳,110015
基金项目:国家安全重大基础研究项目(613139);国家自然科学基金资助项目(61179057)
摘    要:提出了基于机匣加速度信号的航空发动机转静碰摩部位识别方法。利用航空发动机转子试验器模拟了大量不同部位的碰摩,将小波局部极大模归一化能量与直接提取的机匣加速度信号归一化均方值输入至支持向量机中,以进行识别验证及对比分析。结果表明,小波局部极大模方法提取的归一化能量特征比直接提取的加速度信号均方值能更加有效地进行转静碰摩部位的识别。

关 键 词:极大模  能量特征  加速度信号  支持向量机  碰摩位置识别  

Aero-engine Rotor-stator Rubbing Positions Identification Based on Casing Acceleration Signals
Yu Mingyue,Chen Guo,Jiang Guangyi,Li Chenggang,Feng Guoquan,Wang Deyou.Aero-engine Rotor-stator Rubbing Positions Identification Based on Casing Acceleration Signals[J].China Mechanical Engineering,2014,25(8):1102-1108.
Authors:Yu Mingyue  Chen Guo  Jiang Guangyi  Li Chenggang  Feng Guoquan  Wang Deyou
Affiliation:1.Nanjing University of Aeronautics and Astronautics,Nanjing,210016 2.Shenyang Aero-engine Design Institute,Shenyang,110015
Abstract:A method of aero-engine rubbing positions identification based on casing acceleration signals was proposed. The rotor experimental rig of aero-engine was used to simulate rubbing faults of different radial rubbing positions. The normalized energy features of wavelet partial maximum modulus were used to input into support vector machine by comparison with directly extracted casing accelerate signal mean square features. The results show that the normalized energy features based on the wavelet partial maximum modulus are more effective than direct extracted casing acceleration signal mean square feature in rotor-stator rubbing positions identification.
Keywords:maximum modulus  energy feature  acceleration signal  support vector machine  rubbing position identification  
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