Intelligent ball screw service life prediction method based on self-attention mechanism

CN120197305APending Publication Date: 2025-06-24SOUTHEAST UNIV
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Patent Information

Application Number
CN202510209108.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-06-24

AI Technical Summary

Technical Problem

The traditional ball screw maintenance method lacks real-time monitoring and intelligent diagnosis methods, which leads to the inability to grasp the health status of the ball screw in real time, making it difficult to accurately judge the health status of the ball screw and predict the remaining life, and the maintenance cost is high.

Method used

The intelligent ball screw life prediction method based on the self-attention mechanism is adopted. By integrating multiple sensors to detect key parameters such as temperature, vibration and noise of the ball screw in real time, and combining vibration characteristic capture models and health index prediction models on different time scales, the life prediction of the ball screw is achieved.

Benefits of technology

Real-time status monitoring and life prediction of ball screws are realized, the operation reliability and maintenance efficiency of ball screws are improved, and fault downtime and maintenance costs are reduced.

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Abstract

The invention discloses an intelligent ball screw life prediction method based on a self-attention mechanism. The intelligent ball screw life prediction method comprises the following steps: step 1, constructing vibration feature capture models of different time scales; 2, constructing a health index prediction model; 3, constructing a model training sample library; 4, performing model training; step 5, acquiring actual operation data of the ball screw; step 6, predicting health indexes; and 7, life prediction: according to the health index and the degradation point of the ball screw to be subjected to life prediction, calculating to obtain the final life time of the ball screw to be subjected to life prediction. According to the invention, by integrating various sensors, detecting key parameters such as temperature, vibration and noise of the ball screw in real time, and combining vibration feature capture models and health index prediction models of different time scales, service life prediction of the ball screw is realized, so that the operation reliability and maintenance efficiency of the ball screw can be effectively improved, and the service life of the ball screw is prolonged. And the downtime is reduced.
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