Numerical control machine tool operation state health diagnosis system and diagnosis method

Abstract

The invention discloses a numerical control machine tool operation state health diagnosis system and diagnosis method. The system comprises an edge data acquisition module, a cloud platform and a client, the cloud platform is connected with the edge data acquisition module and the client. The cloud platform comprises a predictive diagnosis module, an information management and storage module and an application server; and the predictive diagnosis module comprises a real-time diagnosis module, a post-processing diagnosis module and a comprehensive diagnosis module. According to the system, a cloud platform with a diagnosis function is used for replacing an upper computer, the expandability is greatly improved, the diagnosis and prediction tasks can be completed only by deploying corresponding sensors on the machine tool and connecting the sensors to the cloud platform, the real-time state data of the machine tool are managed in a centralized mode through the cloud platform, and the health condition of the machine tool is evaluated and predicted through the diagnosis technology based on the neural network. The diagnosis method is simpler, and the health diagnosis accuracy is high.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to a health diagnosis system and a diagnosis method for the running state of a numerically controlled machine tool. Background technique [0002] With the promotion of big data, Internet of Things, cloud computing and other technologies, countries are paying more and more attention to the development of intelligent manufacturing. The new generation of intelligent manufacturing is the deep integration of the new generation of artificial intelligence technology and advanced manufacturing technology, which runs through all aspects of the product design, manufacturing and service life cycle and the optimization and integration of corresponding systems. As the core unit of intelligent manufacturing, the digital workshop involves multiple technical fields such as information technology, automation technology, machinery manufacturing, and logistics management. It is of gr...

AI Technical Summary

Problems solved by technology

This method needs to process the obtained fault characteristic parameters through expert system, artificial neural network system and support vector machine respectively to obtain three fault diagnosis results, and then fuse the three fault diagnosis results through genetic algorithm. The detection is quite complicated. The diagnostic results are prone to errors, the accuracy of fault diagnosis is low, and it is impossible to predict the failure of the machine tool spindle, which increases the maintenance cost of the machine tool spindle

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