Research Areas

1. Intelligent manufacturing engineering.

2. Mornitoring and controlling of manufacturing system.

3. Dynamic performance testing of NC machining tools.

Honors

Excellent class teacher pacesetter of BJUT in 2018.

Publications

1. Control chart pattern recognition using the convolutional neural network. Journal of Intelligent Manufacturing.（SCI）

2. Statstcal Process Control with Intelligence Based on the Deep Learning Model. APPLIED SCIENCE-SBASEL.（SCI）

3. Prediction of performance deterioration of rolling bearing based on JADE and PSO-SVM. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.（SCI）

4. Application of MultiDimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings. APPLIED SCIENCE-SBASEL.（SCI）

5. Patern Recogniton of Different Window Size Control Charts Based on Convolutonal Neural Network and Informaton Fusion. SYMMETRY.（SCI）

Personal statement

Zan Tao, Associate Professor, graduated from Beijing University of Technology in 2007 and obtained a Ph.D for mechanical engineering. Now he is a teacher in Faculty of Materials and Manufacturing, Beijing University of Technology.

He taught courses such as Fundamentals of Machinery Manufacturing Technology, Introduction to Engineering.

In scientific research, his main research fields are Mornitoring and controlling of manufacturing system, dynamic performance testing of NC machining tools.