Signal Identification of Belt Conveyor Based on Fuzzy Computing Method
In order to make the excitation force of the belt conveyor simplified as a cantilever beam closer to a reasonable value,the dataset collected by the force sensor when the cantilever beam is excited is first obtained,and then the observation fuzzy vector closest to the experimental data is calculated using the fuzzy approximation method.Then,in order to determine the distribution of larger values in the experimental signal,a fuzzy clustering algorithm was used to iteratively calculate the clustering centers of the larger amplitudes of the six signal amplitudes.Finally,the larger amplitude of the classified data is used as a representative value to replace the original signal amplitude with the key data contained.The analysis shows that the acceleration amplitude values of the discharge belt conveyor in the mobile crushing device can be well clustered,providing important basis for technical personnel.
the belt conveyorthe fuzzy approximation methodobservation fuzzy vectorfuzzy clustering algorithm
万方数据
维普
