Influence of Coal Gangue Volume Mixing Ratio on the System Contact Response When Multiple Coal Gangue Particles Impacting the Metal Plate and the Study of Coal Gangue Mixing Ratio Recognition Based on the Metal Plate Contact Response and the Multi-Information Fusion

In order to clearly grasp the influence rules of the coal gangue volume mixture ratio on the system contact response, and finally realize the coal gangue mixing ratio recognition according to the contact response differences, on the basis of the Hertz contact theory and Flores nonlinear spring-damping contact theory, this paper proposed and established the theoretical model when multiple coal gangue particles elastic impacting the metal plate for the first time simultaneously in an undisturbed way with the consideration of the particles micro-compression, the macro-deflection of the metal plate and the functional transformation of the system. To further study the system response, the simulation when multiple coal gangue particles with the variable mixing ratio impacting the metal plate was carried out with consideration of the coal gangue brittleness and the elastic-plastic of metal plate. Then, broken response of coal gangue particles and the contact response of the metal plate under the different coal gangue mixing ratios were studied. After that, EMD decomposition and time-frequency domain parameters calculation were conducted for the vibration acceleration signal of the metal plate, and the influence law of gangue mixing ratio on the vibration acceleration signal time-frequency domain parameters of the metal plate was obtained. Finally, in line accordance with the self-proposed data standardization processing method, Kalman filtering, multi-information fusion method as well as the simulation data, the recognition of coal gangue mixture ratio based on the vibration acceleration signal multi-time-frequency domain parameter fusion and the recognition of coal gangue mixture ratio based on the metal plate multi-response information fusion were marched respectively, and the coal gangue mixture ratio multi-dimension recognition strategy based on Kalman filter and the energy fusion is proposed. The research results show that the proposed recognition method can greatly improve the recognition rate and the applicability of the identification strategy.