Research on Load Vibration Signal Identification of Crusher Based on MEMD and SE Method
In order to improve the anti-interferenceability of the crusher cylinder to generate easily a variety of nonlinear vibration signals with an interference,a method based on MEMD and SE algorithm is designed to identify the crusher load vibration signals.The MEMD algorithm is used to decompose the noise signal,calculate the correlation degree of different IMF components and the effective IMF component SE,and complete the accurate judgment of the crusher load.The results show that the obvious noise is formed in the initial waveform,almost all high-frequency noise signals are removed by the MEMD algorithm,and the reconstructed signal amplitude is similar to the general trend,which has excellent effect on the pre-processing of ball mill vibration signals.When the similarity tolerance is increased,the obvious overlap is formed,and the higher similarity is obtained for different load states.When 25 hidden layers of neurons are set and the sine function is selected as the activation function,the identification model reaches the highest accuracy,which can identify overload characteristics with significantly higher accuracy than EMD-sample entropy and MEEMD-sample entropy methods.
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