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

The trend character extraction of aerial ground electrical power vehicle's fault signal based on wavelet decomposition

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。

Discussed necessity of the trend character extraction of aerial ground electrical power vehicle＇s fault signal in modem air war and multiresolution analysisg 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 vehicles output voltage information in steady state.