Aero-engine Rotor-stator Rubbing Positions Identification Based on Casing Acceleration Signals

Abstract

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.

Key words: maximum modulus, energy feature, acceleration signal, support vector machine;rubbing position identification

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

CLC Number:

TB132

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.

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.

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