基于EMD算法和小波变换的6分量天平数据处理

针对在风洞试验中, 6分量天平采集到的数据如何消除干扰的问题, 提出了一种结合EMD算法和小波变换的处理方法。从天平的设计角度来考虑数据中可能含有的干扰成分, 指出干扰成分与数据的时频关系, 在理论上说明该方法的合理性。通过仿真试验还原数据, 并与传统的消除干扰算法做误差对比, 验证该方法相比于传统方法有着更好的准确性。最后对真实6分量天平数据进行处理, 进一步证明该方法的实际可行性。

Abstract

Aiming at the problem of how to eliminate the interference of the data collected by the six-component balance in the wind tunnel test, a processing method combining EMD algorithm with wavelet transform is proposed.Considering the interference components that may be contained in the data from the perspective of the design of the balance, the time-frequency relationship between the interference components and the data is given, and the rationality of the method is theoretically explained.The data is restored by simulation test, and the error is compared with that of the traditional interference elimination algorithm.It is verified that the method has higher accuracy.Finally, the real six-component balance data is processed to further prove the practical feasibility of the method.

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黄宗弈, 舒勤, 刘施然. 基于EMD算法和小波变换的6分量天平数据处理[J]. 电光与控制, 2019, 26(5): 81. HUANG Zong-yi, SHU Qin, LIU Shi-ran. The Six-Component Balance Data Processing Based on EMD Algorithm and Wavelet Transform[J]. Electronics Optics & Control, 2019, 26(5): 81.

基于EMD算法和小波变换的6分量天平数据处理

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