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水上飞机耐波性试验数据处理软件开发及应用

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在水上飞机模型耐波性试验中,试验环境会对试验数据产生干扰,常规的数据处理手段难以剔除干扰信号。针对该问题,基于LabVIEW和Matlab平台,开发了一套水上飞机耐波性试验数据处理软件,并通过仿真数据验证了该软件的功能性。软件以巴特沃斯低通滤波器和经验模态分解(EMD)联合数据处理方法为核心,通过对试验数据先采用低通滤波,然后进行模态分解的方法,剔除数据中的干扰信号。实际应用结果表明,该软件能够有效去除数据中的干扰项和执行统计值分析,并提供数据输出功能,提高数据处理效率和处理精度。
Development and Application of Data Processing Software for Seakeeping Test of Seaplane
In the seakeeping test of Seaplane model,the test environment will interfere with the test data,and it is difficult for conventional data processing methods to eliminate interference signals.To solve this problem,a data processing software for sea-keeping test of Seaplane is developed based on LabVIEW and Matlab platform,and its functionality is verified by simulation data.The software is based on the joint data processing method of Butterworth low-pass filter and Empirical Mode Decomposition(EMD).By first using low-pass filter and then performing modal decomposition on the experimental data,interference signals are removed from the data.The practical application results show that the software can effectively remove interference items from the da-ta,perform statistical value analysis,and provide data output function,improving data processing efficiency and accuracy.

seaplaneseakeeping testEMDsea keeping testLabVIEWMatlab

王冠、许靖锋

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中国特种飞行器研究所 荆门 448035

高速水动力航空科技重点实验室 荆门 448035

水上飞机 低通滤波 EMD 耐波性试验 LabVIEW Matlab

工信部民用飞机专项科研项目

MJZ5-3N21-1

2024

舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
年,卷(期):2024.44(7)