Principles of Intelligent Rail Transit

This book systematically expounds on the scientific principles and technologies of Rail Transit Intelligent Technology based on the high development of artificial intelligence theory and technology. The contents include technical principles, theoretical algorithms and practical engineering technologies of intelligent monitoring of rail transit system, intelligent sensing and identification of train power system, intelligent technology in rail transit system operation, intelligent maintenance of carriage environment, etc.

It can be used as a textbook or teaching reference book for related fields in universities, including rail transit system, communication, automation, intelligent equipment design and manufacturing, artificial intelligence, computer science and technology, electrical engineering and automation, etc. It is used as an academic reference for professionals in rail transit system design, operation, and maintenance.

Describes the latest intelligent technology principle in rail transit system Provides technical principle of multi-functional and comprehensive train operation monitoring system Presents a vital popularization value for new train design through intelligent identification algorithm

Autorentext

Xiubin Zhang is currently a professor at the School of electronic information and electrical engineering, Shanghai Jiao Tong University. His main research interests are information processing and intelligent control, image processing and pattern recognition, artificial intelligence, electrical engineering and automation, creative thinking and method theory, etc. Prof. Zhang has published ten academic monographs and more than 200 academic papers in core journals. He also obtained more than 80 Chinese invention patents.

Muhammad Mansoor Khan is currently an associate professor in Shanghai Jiao Tong University, School of electronic information and electrical engineering. Main research interests: new energy, energy conservation and environmental protection, smart grid, FACTS, power electronics technology, intelligent control, etc.

Yeerjiang Halimu is currently a lecturer in Xinjiang Agricultural University, School of computer and information engineering. Main research interests: machine learning, pattern recognition and intelligent systems, intelligent optimization algorithm research, etc.

Inhalt
Chapter 1. Brief history of rail transit development.- Chapter 2. Intelligent monitoring of rail transit system.- Chapter 3. Intelligent sensing and identification of train power system.- Chapter 4. Artificial intelligence technology in the operation and management of rail transit system.- Chapter 5. Application of AI in rail transit operation and maintenance.- Chapter 6. Intelligent maintenance of internal and external environment of train.- Chapter 7. Future technological development of rail transit.