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To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network
algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a
BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural
network fault diagnosis of the belt conveyor. Results show that the fuzzy neural network can filter out unnecessary
information; save time and space; and improve the fault diagnosis recognition, classification, and fault location
capabilities of belt conveyor. The proposed model has high practical value for engineering.