Diagnosis System Of Electric Screw Press Based On Knowledge-Mechanism-Data Model

With the proposal of Made in China 2025 and the 14 th Five-Year Plan,the country's demand for high-performance,low-cost and short-cycle core parts is increasing,and large forming equipment has emerged as The Times require.Due to the high degree of coupling and high degree of personalized customization of large-scale forming equipment system,there are many uncertainties in its life cycle.Therefore,it is of great significance to study how to analyze and judge the running state of the equipment,find the equipment problems in time,and improve the reliability and stability of large-scale forming equipment.In recent years,equipment diagnosis methods have been continuously developed,and three common methods based on knowledge,mechanism model and data have been formed.Because these three methods all have their own defects.This paper takes a certain type of 80 MN electric screw press as the research object,and puts forward the establishment of the equipment diagnosis system in accordance with the characteristics and requirements of the equipment by combining the above three methods.First of all,on the basis of in-depth understanding of the equipment structure and working principle,combined with expert knowledge and prior experience,the fault characteristics were summarized and analyzed.The fault tree,a common knowledge diagnosis method,was used to build a fault knowledge base for electric screw press.Then,in view of the shortcomings of this knowledge diagnosis method,the key parameters monitoring of equipment combining the mechanism of equipment and forging forming mechanism was proposed,and the key process parameters and key parts positions were monitored in real time,and a large number of data were obtained.On this basis,using the data-driven method,using the least square method,hashing algorithm and SOM neural network to realize the equipment state judgment and fault selfdiagnosis of these real-time data.Finally,the diagnostic method established above is applied to the electric screw press diagnostic system,and its function is tested by using the collected data.The test results show that the diagnostic system can identify the different states of the press equipment,improve the efficiency of on-site equipment maintenance,and reduce the cost of equipment maintenance.