CAJ | 학술논문

航空发动机测试中，内部气流工况十分复杂，使用多传感器对同一截面进行测试表征一个面的气流状态，其结果往往有个别点不符合规律。为此，提出一种基于小波分析的解决方案。首先对发动机多传感器测试数据进行小波分频。然后从相似性、能量衰减等多个角度进行分析，指出高频和低频的不同特征，并提出对高频与低频部分使用不同方法进行融合的思路。最后总结出一种适用于航空发动机高空模拟试验数据使用的基于小波的数据融合算法。
항공발동궤측시중，내부기류공황십분복잡，사용다전감기대동일절면진행측시표정일개면적기류상태，기결과왕왕유개별점불부합규률。위차，제출일충기우소파분석적해결방안。수선대발동궤다전감기측시수거진행소파분빈。연후종상사성、능량쇠감등다개각도진행분석，지출고빈화저빈적불동특정，병제출대고빈여저빈부분사용불동방법진행융합적사로。최후총결출일충괄용우항공발동궤고공모의시험수거사용적기우소파적수거융합산법。
Multi-sensors are often used in engine tests. However the results sometimes are difficult to inter-pret especially when data are irregular distributed and even inconsistent because of the complex environ-ment. A new fusion way based on wavelet analysis was presented. The sensor data were divided into two parts:high frequency and low frequency areas, which were examined from various aspects such as similarity and energy attenuation. It is found that there are many different characteristics between the two parts, and it is necessary to use different fusion methods to hand them. Finally a fusion algorithm based on wavelets has been presented.