Prof. Xudong Song
Dalian Jiaotong University, China
Speech Title： Intelligent fault diagnosis methods for rail transit bearing based on deep learning and big data
Deep learning and big data technology are the most advanced information technologies in the contemporary era. Data-driven machine learning methods have become important methods to discover laws and solve scientific problems. The project aims to improve the accuracy and efficiency of rail transit bearing fault diagnosis, explore the application methods and technologies of deep learning and big data technology in rail transit bearing fault intelligent diagnosis, propose a series of data-driven rail transit bearing fault intelligent diagnosis methods, build bearing fault intelligent diagnosis models in different application scenarios, and solve the problems of inaccurate, untimely and poor adaptability of bearing fault diagnosis, Its solution not only has important theoretical significance for the research of bearing fault diagnosis methods of rail transit, provides theoretical basis and technical reserve for the research of mechanical equipment fault diagnosis methods, but also provides decision support for the safe operation of rail transit transportation. It has important significance and great economic value for bearing fault diagnosis and operation maintenance, and has high industrial application value and wide application prospects.
Xudong Song is a professor at the computer and communication engineering Institute at the Dalian Jiaotong University in China. He received his Ph.D. in Computer Science from Dalian University of Technology. He was an outstanding young backbone teacher of universities in Liaoning Province, and a national public visiting scholar of Worcester Institute of technology in USA. His research interests include artificial intelligence, big data mining, decision support system, as well as quantum information, etc., and has a deep theoretical foundation and rich scientific research experience. He has published more than 100 papers in refereed journals and international conferences in the above areas, published 10 books, completed more than 40 scientific research projects, authorized 2 national invention patents and 15 software copyrights. He is an expert in degree and postgraduate education evaluation of the Ministry of education of China, an expert scientific research funds and science and technology awards evaluation of the Ministry of education of China, an expert science and technology awards evaluation of Liaoning Province of China.