Study on Sensor Signal Filtering Based on Wavelet Energy Entropy
In order to increase the fuel level measurement accuracy in aircraft fuel system, the method of sensor signal filtering based on the wavelet energy entropy was put forward. Using the maximum entropy principle the wavelet energy entropy of high-frequency coefficient vector in each level was calculated while the output signal of sensor was analyzed in wavelet multi-resolution mode. Once the sum of wavelet energy entropy for filtered signal and noise signal is maximum, the filtering effect is much better. At the same time, the result of tests which use simulation signal and fuel level sensor data collected from fuel tank oscillation test are all satisfied, it is show that this method is available.
Helen Zhang and David Jin
J. G. Yan et al., "Study on Sensor Signal Filtering Based on Wavelet Energy Entropy", Applied Mechanics and Materials, Vols. 63-64, pp. 573-578, 2011