| 杜菲,马天兵.基于小波包和RBF神经网络的压电加速度传感器故障诊断[J].井冈山大学自然版,2013,(3):54-57 |
| 基于小波包和RBF神经网络的压电加速度传感器故障诊断 |
| DIAGNOSIS OF PIEZOELECTRIC ACCELERATION SENSOR FAULT BASED ON WAVELET PACKET AND RBF NEURAL NETWORK |
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| DOI： |
| 中文关键词: 压电加速度传感器 小波包变换 神经网络 故障诊断 |
| 英文关键词: piezoelectric acceleration sensor wavelet packet transform neural network fault |
| 基金项目:安徽省高校优秀青年人才基金重点项目(2012SQRL045ZD) |
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| 中文摘要: |
| 根据压电加速度传感器故障的特点，提出运用小波包变换和RBF神经网络的故障诊断方法。首先运用小波包分解和重构原理将传感器输出信号分解到不同频段中，提取每个频段的能量作为状态监测的特征向量，作为RBF网络的输入，然后利用最佳的RBF神经网络进行压电传感器故障分类。实验结果表明该方法具有良好的非线性跟踪能力，较高的诊断准确率。 |
| 英文摘要: |
| According to the character of piezoelectric acceleration sensor fault, a new diagnosis method based on wavelet packet transform and RBF neural network is proposed to detect and identify sensor fault. The sensor fault signals are decomposed in different frequency bands by wavelet packet decomposition and reconstruction, and the energy of every band is used as the.eigenvector of condition monitoring as well as input of RBF （Radial Basis Function） neural-network. The classification of sensor fault is conducted by using the best RBF neural network. Experiment results prove that the method has good tracking ability of nonlinear system and higher diagnosis accuracy. |
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