Research on Fault Diagnosis Technology of Belt Conveyor Based on AI Intelligent Identification
In order to solve the coal preparation plant belt conveyor traditional fault diagnosis method is low,accuracy is not high,equipment hidden trouble predictive is not strong,this paper analyzes the belt conveyor structure characteristics and common faults,using AI convolutional neural network intelligent algorithm belt conveyor intelligent fault diagnosis,optimize the traditional fault identification algorithm,using intelligent algorithm can find the potential fault in time,fault identification accuracy is as high as 98.4%.After on-site commissioning and trial operation in a coal preparation plant in Shanxi Province,it is shown that the intelligent fault identification algorithm of belt conveyor can not only accurately extract the obvious abnormal features,but also extract the weak abnormal feature signal in time.The response speed is shortened from the traditional 2.58 s to 0.97 s,achieving satisfactory application effect.
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