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| 基于小波变换和神经网络的航空发动机故障诊断 | |
| 引用本文： | 田宝国,阎云龙,张继平.基于小波变换和神经网络的航空发动机故障诊断[J].海军航空工程学院学报,2009,24(3):241-244. |
| 作者姓名： | 田宝国 阎云龙 张继平 |
| 作者单位： | 1. 海军航空工程学院,基础部,山东烟台264001 2. 海军航空工程学院,研究生管理大队,山东烟台264001 3. 海军航空工程学院,基础实验部,山东烟台264001 |
| 基金项目： | 海军航空工程学院基础研究基金 |
| 摘 要： | 在阐述了小波变换和BP神经网络概念的基础上，根据小波神经网络故障诊断的基本思想，提出了一种基于“能量-故障”的小波预处理神经网络航空发动机诊断方法。实验仿真结果表明，使用该方法提取故障特征加快了神经网络的训练速度，能迅速地进行故障的诊断。 |
| 关 键 词： | 小波变换 BP神经网络 故障诊断 |
Aeroengine Fault Diagnosis Based on Wavelet Transform and Neural Network |
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| TIAN Bao-guo,YAN Yun-long and ZHANG Ji-ping.Aeroengine Fault Diagnosis Based on Wavelet Transform and Neural Network[J].Journal of Naval Aeronautical Engineering Institute,2009,24(3):241-244. | |
| Authors: | TIAN Bao-guo YAN Yun-long and ZHANG Ji-ping |
| Institution: | (Naval Aeronautical and Astronautical University a. Department of Basic Sciences： b. Graduate Students ＇Brigade; c. Department of Basic Experiment, Yantai Sharidong 264001, China) |
| Abstract: | The aeroengine fault diagnosis method was presented, based on the basic idea of wavelet transform and neural network. The proposed method used wavelet transform as the preprocessor of BPNN. The result of simulation showed that the fault could be detected quickly and the training speed of BPNN was dramatically accelerated. |
| Keywords: | wavelet transform BP neural network fault diagnosis |
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