Yan Han

Title: Innovations by Yan Han in Tool Life Prediction

Introduction

Yan Han is an accomplished inventor based in Chongqing, China. He has made significant contributions to the field of numerical control machine tools, particularly in predicting tool life. His innovative approach utilizes advanced neural network models to enhance the efficiency and reliability of machining processes.

Latest Patents

Yan Han holds a patent for a "Prediction method for tool remaining life of numerical control machine tool based on hybrid neural model." This method involves constructing a hybrid neural network model that includes several steps. It begins with creating sample data according to the sampling frequency of tool data. The process then utilizes a convolutional neural network and a long short-term memory network to obtain a first feature vector representing the tool life. Additionally, working condition signals of sampling points are transformed into a second feature vector using an NFM neural network. Finally, the current working time of a tool and the acquired feature vectors are input into a multi-layer perceptron for fusion to predict the tool life.

Career Highlights

Yan Han is affiliated with the Institute of Industrial Internet at Chongqing University of Posts and Telecommunications. His work focuses on integrating advanced technologies into industrial applications, particularly in the realm of machine tool efficiency.

Collaborations

Yan collaborates with notable colleagues, including Qingqing Huang and Zhen Kang, who contribute to his research and development efforts.

Conclusion

Yan Han's innovative methods in predicting tool life represent a significant advancement in the field of numerical control machine tools. His contributions are paving the way for more efficient manufacturing processes and improved tool management.