| 基于小波包能量谱的航空发动机故障特征提取方法 |
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| 引用本文： | 郭立全,王克明.基于小波包能量谱的航空发动机故障特征提取方法[J].沈阳航空工业学院学报,2014(1):12-15. |
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| 作者姓名： | 郭立全 王克明 |
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| 作者单位： | 沈阳航空航天大学航空航天工程学部（院）,沈阳110136 |
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| 摘 要： | 使用成熟的旋转机械振动信号频谱分析方法,对采集到的多台航空发动机试车振动信号进行分析,找出能反应出发动机转子不对中、转子不平衡和转静件碰磨3种故障频谱特征的振动信号.再使用小波包将信号分解为不同的频段,之后分别计算能反应出故障信息的特征频段的能量,将它们组成用来区分上述3种故障的特征向量,为以后的航空发动机故障的模式识别做准备.
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| 关 键 词： | 小波包 能量谱 故障特征提取 小波包树 |
The extraction of aero-engine fault feature based on wavelet packet energy spectrum |
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| GUO Li-quan,WANG Ke-ming.The extraction of aero-engine fault feature based on wavelet packet energy spectrum[J].Journal of Shenyang Institute of Aeronautical Engineering,2014(1):12-15. |
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| Authors: | GUO Li-quan WANG Ke-ming |
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| Institution: | ( Faculty of Aerospace Engineering, Shenyang Aerospace University, Shenyang 110136 ) |
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| Abstract: | Using the method of rotating machinery vibration signal frequency spectrum analysis, this paper analyzes the collected vibration signals of some aero-engines, and finds out the vibration signals which can show the three kinds of fault frequency of rotor misalignment, rotor imbalance and rotor-stator rubbing. Then we use the wavelet packet to decompose the signal to some frequency ranges and calculate the energy of fea- ture frequency ranges which indicate the fault information. In the end, we adopt the wavelet packet energy spectrum to distinguish the three kinds of faults and prepare for the aero-engine fault pattern recognition for the future. |
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| Keywords: | wavelet packet energy spectrum fault feature extraction wavelet packet tree |
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