Abstract: Disclosed is a prediction method for tool remaining life of a numerical control machine tool based on a hybrid neural model, including: constructing a hybrid neural network model, specifically including the following steps: constructing sample data according to the sampling frequency of tool data; obtaining a first feature vector representing the tool life by utilizing a convolutional neural network and a long short-term memory network; generating working condition signals of sampling points into a second feature vector representing the tool life by utilizing an NFM neural network; and inputting a current working time of a tool and the acquired feature vectors into a multi-layer perceptron for fusion to predict the tool life.
Type:
Grant
Filed:
October 31, 2023
Date of Patent:
March 12, 2024
Assignee:
INSTITUTE OF INDUSTRIAL INTERNET, CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
Inventors:
Qingqing Huang, Yan Han, Zhen Kang, Yan Zhang, Ping Wang