Equipment Fault Diagnosis Method Based on Improved Artificial Bee Colony Algorithm Optimized Support Vector Machine
In order to accurately diagnose the operation status of rolling bearings,which is the core component of underground belt conveyors in coal mines,the improved artificial bee colony algorithm combining crossover operation and global optimal solution was introduced for the problem of difficulty in determining the penalty factor of the support vector machine in the fault classification method,and the fault diagnostic model was constructed,and the differences between the improved model and the traditional model were compared through simulation analysis.The simulation results showed that the improved diagnostic model can quickly and accurately identify the types of equipment faults,shorten the diagnostic time of equipment faults,and improve the efficiency of underground equipment fault diagnosis.
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