摘要: The fault type of the conventional multi-fault identification system of mechanical bearings is not clear, leading to the system's high load rate. A multi-fault identification system of mechanical bearings based on machine vision i... 展开 The fault type of the conventional multi-fault identification system of mechanical bearings is not clear, leading to the system's high load rate. A multi-fault identification system of mechanical bearings based on machine vision is designed. Hardware part: take the linear voltage signal of the equipment as the primary signal source, optimize the peripheral circuit; Software part: Introduce coupling model theory, improve the abnormal detection process of the mechanical bearing, identify multiple fault types, ensure power transmission between components, calculate the fault frequency of bearing inner ring, use the fault prediction function of machine vision design software. Experimental results: The average load rate of the multi-fault recognition system of mechanical bearings in this paper and the other two types of the multi-type fault identification system of mechanical bearing is 40.501%, 51.970%, and 51.100%, which proves that the multi-fault identification system of mechanical bearings combined with machine vision technology has high reliability. 收起