Exploration on Prevention and Maintenance of Common Faults of Hydraulic Machinery Equipment Based on Big Data

摘要

Mechanical hydraulic system has the advantages of high transmission efficiency, large transmission energy, good transmission stability, small transmission wear, flexible arrangement and compact structure. As long as there are few faults in the hydraulic system, the machinery can't work smoothly. Therefore, it is of great significance for manufacturing enterprises to maintain hydraulic facilities and solve their faults accurately, quickly and in a short time. Due to the limitation of technical conditions and complex working conditions, the fault diagnosis function of hydraulic mechanical equipment is still weak at present. In the process of fault prevention and maintenance, a more efficient maintenance plan should be scientifically formulated in combination with the actual situation of specific equipment. In this paper, the frequent faults of hydraulic system of mechanical equipment are analyzed, and the construction method of big data decision analysis service platform is discussed, so as to realize the remote online fault diagnosis of hydraulic mechanical equipment, thus improving the maintainability and availability of hydraulic mechanical equipment.