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This paper proposes the use of Siemens S7-200 Smart PLC to collect mechanical vibration signals of rolling bearings for the crane load motor by Phoenix industrial Wi-Fi wireless module to send the collected data in the form of wireless packet data summary to the PC monitoring center. The correlation and spectrum analysis of the motor vibration signal are carried out by the LabVIEW monitoring platform of the host computer. The real-time vibration data spectrum signal and three typical fault state spectrum signals of known common bearing outer ring failure, inner ring fault and roller failure are carried out by correlation method. The correlation coefficient is used as the fault diagnosis threshold to diagnose the fault, and the state of the crane is monitored and the information of the monitoring is released.