Qingqing Huang

Title: Innovations of Qingqing Huang in Numerical Control Machine Tools

Introduction

Qingqing Huang is a notable inventor based in Chongqing, China. He has made significant contributions to the field of numerical control machine tools, particularly in the area of predicting tool life. With a total of 2 patents, his work focuses on enhancing the efficiency and reliability of machine tools through innovative predictive methods.

Latest Patents

Qingqing Huang's latest patents include a "Prediction method for tool remaining life of numerical control machine tool based on hybrid neural model." This patent discloses a method that constructs a hybrid neural network model, which involves creating sample data according to the sampling frequency of tool data. It utilizes a convolutional neural network and a long short-term memory network to obtain a first feature vector representing tool life. Additionally, it generates working condition signals into a second feature vector using an NFM neural network, ultimately inputting these into a multi-layer perceptron for fusion to predict tool life.

Another significant patent is the "Method for predicting remaining life of numerical control machine tool." This method selects indirect measurement indicators based on monitoring and analyzing the current state of the tool. It establishes a prediction model for the remaining life of the tool through data de-noising, feature extraction, and a multi-kernel W-LSSVM algorithm.

Career Highlights

Qingqing Huang has worked at the Chongqing University of Posts and Telecommunications and the Institute of Industrial Internet, both of which have provided him with a platform to develop his innovative ideas. His academic and research endeavors have significantly impacted the field of industrial automation.

Collaborations

Some of his notable coworkers include Zhen Kang and Yan Zhang, who have collaborated with him on various projects related to numerical control machine tools.

Conclusion

Qingqing Huang's contributions to the field of numerical control machine tools through his innovative patents demonstrate his commitment to advancing technology. His work not only enhances the efficiency of machine tools but also sets a foundation for future research and development in this critical area.