Numerical algorithms of marine diesel engine instantaneous speed based on Hilbert-Huang Transform
Kun Yu Yang, Lei Zhou, Gen Gong, Jiankun Zhang
Abstract
Open-access reader
Kun Yu Yang, Lei Zhou, Gen Gong, Jiankun Zhang
Abstract
Open-access reader
As is known to all, there are lots of measurement noises and ambient noises among diesel engine instantaneous speed signal, for the warship engine room environment is not convenient to install precise equipment, such as photoelectric encoder etc. The instantaneous speed signal processing method of diesel engine should be thoroughly studied. The Hilbert-Huang transform is introduced to decompose the instantaneous speed signal by EMD empirical mode and to analyze the spectrum. The IMF component which affects the fluctuation of the speed is superimposed to obtain the HHT (Hilbert-Huang Transform)-based filtering curve. Then a low pass filter is designed to solve the attenuation signal problem in the useful signal based on the HHT filter. Subsequently the filter technical parameters are determined according to the spectrum analysis of the IMF component. Experimental results show that the filtering effect of the designed algorithms is fairly well.
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As is known to all, there are lots of measurement noises and ambient noises among diesel engine instantaneous speed signal, for the warship engine room environment is not convenient to install precise equipment, such as photoelectric encoder etc. The instantaneous speed signal processing method of diesel engine should be thoroughly studied. The Hilbert-Huang transform is introduced to decompose the instantaneous speed signal by EMD empirical mode and to analyze the spectrum. The IMF component which affects the fluctuation of the speed is superimposed to obtain the HHT (Hilbert-Huang Transform)-based filtering curve. Then a low pass filter is designed to solve the attenuation signal problem in the useful signal based on the HHT filter. Subsequently the filter technical parameters are determined according to the spectrum analysis of the IMF component. Experimental results show that the filtering effect of the designed algorithms is fairly well.
Key concepts: Hilbert–Huang transform, Diesel engine, SIGNAL (programming language), Instantaneous phase, Hilbert transform, Algorithm, Filter (signal processing), Hilbert spectral analysis