基于最大能量熵的飞机油位传感器去噪法研究

Research on Aircraft Oil Level Sensor Denoising Algorithm Based on Maximum Energy Entropy

飞机油位传感器信号的滤波对于飞机油量的精确测量有着重要影响。小波去噪的核心问题是如何选取合适的阈值函数。分析了现有的软阈值、硬阈值以及软硬折衷阈值三种小波阈值去噪方法的优缺点,在此基础上,提出了一种基于最大能量熵的小波阈值去噪方法,根据最大能量熵的理论确定了改进型阈值函数中的加权因子。并将其应用到飞机油位传感器输出信号的滤波处理中,结果表明,基于最大能量熵的小波阈值去噪方法各项性能指标均优于另外两种方法,具有良好的去噪效果。

The filtering of the aircraft oil level sensor signal has an important influence on the accurate measurement of the oil quantity of the aircraft.The core problem of wavelet denoising is how to select the appropriate threshold function.Analysising of the soft thresholds,hard thresholds and soft and hard tradeoff thresholds,a wavelet threshold denoising method based on maximum energy entropy is proposed.Based on the maximum energy entropy,the weighting factor in the improved threshold function is determined.It is applie to the filter processing of the output signal of the aircraft oil level sensor.The results show that the performance of using wavelet threshold denoising method based on maximum energy entropy is superior to the other two methods,and has good denoising effect.