| 基于小波分解的航空地面电源车故障信号趋势特征的提取 |
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| 引用本文： | 郭巍,陈友龙.基于小波分解的航空地面电源车故障信号趋势特征的提取[J].移动电源与车辆,2006(1):43-45. |
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| 作者姓名： | 郭巍 陈友龙 |
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| 作者单位： | 海军航空工程学院青岛分院,山东,青岛,266041 |
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| 摘 要： | 论述了现代空战条件下航空地面电源车故障信号趋势特征提取的必要性和多分辨率分析在处理大数据量趋势特征提取的优越性;并在此基础上给出了航空地面电源车故障信号趋势特征提取的一般方法;最后,通过对某型航空地面电源车稳态输出电压信号的分析、故障判别,证实了该方法的有效性。
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| 关 键 词： | 小波变换 趋势特征提取 航空地面电源车 |
| 文章编号： | 1003-4250(2006)01-0043-03 |
| 收稿时间： | 2005-10-25 |
| 修稿时间： | 2005年10月25 |
The trend character extraction of aerial ground electrical power vehicle's fault signal based on wavelet decomposition |
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| GUO Wei,CHEN You-long.The trend character extraction of aerial ground electrical power vehicle''''s fault signal based on wavelet decomposition[J].Movable Power Station & Vehicle,2006(1):43-45. |
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| Authors: | GUO Wei CHEN You-long |
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| Institution: | Qingdao Branch of Naval Aeronautical Engineering Institute, Shandong Prov. , Qingdao 266041, China |
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| Abstract: | Discussed necessity of the trend character extraction of aerial ground electrical power vehicle's fault signal in modern air war and multiresolution analysis's advantage in the process of great data volume rend character extraction;then it presents methods to extract trend character of aerial ground electrical power vehicle's fault signal;finally,its validity is proved by analysis and fault discrimination of one aerial ground electrical power vehicle's output voltage information in steady state. |
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| Keywords: | wavelet transformation trend character extraction aerial ground electrical power vehicle |
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