| 小波包滤波在齿轮故障诊断中的应用 |
| |
| 引用本文： | 周翔,侯立刚,苏成利,肖炎良,张勇. 小波包滤波在齿轮故障诊断中的应用[J]. 自动化仪表, 2012, 33(4): 1-4 |
| |
| 作者姓名： | 周翔 侯立刚 苏成利 肖炎良 张勇 |
| |
| 作者单位： | 辽宁石油化工大学信息与控制工程学院,辽宁抚顺,113001 |
| |
| 基金项目： | 辽宁省自然科学基金资助项目(编号:20102127);辽宁省教育厅高校创新团队基金资助项目(编号:2007T103、2009T062、LT2010058) |
| |
| 摘 要： | 为快速准确地判断齿轮故障的类型,提出了小波包滤波和神经网络相结合进行齿轮故障分类的方法。介绍了小波包去噪的原理和神经网络的设计方法,对阈值算法和神经网络优化算法作了改进,得到了不含噪声的信号和准确的故障分类方法。仿真结果表明,基于小波包滤波的神经网络方法具有更高的准确性和稳定性,可以满足工业故障诊断的要求。
|
| 关 键 词： | 小波包 小波神经网络 故障诊断 齿轮 滤波 阈值 |
Application of Wavelet Packet Filtering in Fault Diagnosis for Gears |
| |
| Zhou Xiang Hou Ligang Su Chengli Xiao Yanliang Zhang Yong. Application of Wavelet Packet Filtering in Fault Diagnosis for Gears[J]. Process Automation Instrumentation, 2012, 33(4): 1-4 |
| |
| Authors: | Zhou Xiang Hou Ligang Su Chengli Xiao Yanliang Zhang Yong |
| |
| Affiliation: | Zhou Xiang Hou Ligang Su Chengli Xiao Yanliang Zhang Yong |
| |
| Abstract: | In order to rapidly classify the types of faults for gears,the method combining wavelet packet filtering and neural network for classifying gear faults is proposed.The principle of wavelet de-noising and the design method of neural network are introduced.The threshold algorithm and neural network optimization algorithm are improved to obtain the signals without noise,and precise fault classifying method.The result of simulation indicates that the neural network method based on wavelet packet features high accuracy and stability,and it satisfies the requirements of industrial fault diagnosis. |
| |
| Keywords: | Wavelet packet Wavelet neural network Fault diagnosis Gear Filtering Threshold |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
