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The fault phenomenon of high pressure roller mill gearbox lubrication system is not easy to be find in many cases,
the fault of system is easy to be ignored, and it is more difficult to judge with the traditional method. For this reason, the fault
diagnosis model of the particle swarm neural network has been established by using actual sample data, determining the
cause of fault through the actual monitoring data. The practice has proved that it has better prediction effect.