Digital Twin Operation and Maintenance for Traction Power Supply System of High-speed Train
Produktdetaljer
Biographical note
Kai Liu was born in Guizhou, China, in 1990. He received the B.Sc. degree in electrical engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2013, and the Ph.D. degree in electrical engineering from Chongqing University, Chongqing, China, in 2018. He is currently an associate professor of electrical engineering with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He is currently focusing on multi-physical field computation and condition analysis of electrical equipment, online monitoring and fault diagnosis of electrical equipment in power system and rail transportation. He has presided over 20 projects of National Natural Science Foundation of China (NSFC), Sichuan Provincial Natural Science Foundation, and State Grid of China.
Guangning Wu is an associate dean of Institute of Frontier Science and Technology of Southwest Jiaotong University, second-level professor/doctoral supervisor, IEEE fellow, IET fellow, CIGRE B3 national representative of China, distinguished professor of "Changjiang Scholars" of Ministry of education, obtainer of National Science Fund for Distinguished Youth, famous teacher of national "ten thousand talents plan", head of "national key field innovation team" of Ministry of Science and Technology, State-Council Allowance Obtained Expert, host of "High Voltage Technology" National First-class Course, leader of academic and technological in Sichuan Province.
This book comprehensively and systematically introduces the research and application of digital twin operation and maintenance technology for high-speed train traction power supply system. The book is divided into six chapters, which introduce the digital twin architecture of high-speed train traction power supply system, digital twin modeling of power supply system, multi-physical field digital twin of train key equipment, digital twin of typical train scenarios, and digital twin operation and maintenance of train traction power supply system. This book is novel and focused, the whole book is oriented to the actual engineering problems, covering the theoretical frameworks, model building, data analysis, and application practice. It extensively describes digital twin modeling and intelligent operation and maintenance methods for high-speed train traction power supply systems, proposing a novel approach of digital twin intelligent operation and maintenance based on deep learning image recognition, aiming to ensure the safe operation of high-speed trains. It could be serve as a reference book for graduate students and professionals in rail transit and power engineering.
Introduction.- Digital Twin Architecture for High-Speed Train Traction Power Systems.- Digital Twin Modelling of High-Speed Train Traction Power Supply System.- Multi-Physical Field Digital Twinning of Critical Traction Power Supply Equipment for High-Speed Trains.- Digital Twins for Typical Scenarios of High-Speed Train Traction Power Equipment.- Digital Twin Operation and Maintenance Technology for High-speed Train Traction Power Supply System.
This book comprehensively and systematically introduces the research and application of digital twin operation and maintenance technology for high-speed train traction power supply system. The book is divided into six chapters, which introduce the digital twin architecture of high-speed train traction power supply system, digital twin modeling of power supply system, multi-physical field digital twin of train key equipment, digital twin of typical train scenarios, and digital twin operation and maintenance of train traction power supply system. This book is novel and focused, the whole book is oriented to the actual engineering problems, covering the theoretical frameworks, model building, data analysis, and application practice. It extensively describes digital twin modeling and intelligent operation and maintenance methods for high-speed train traction power supply systems, proposing a novel approach of digital twin intelligent operation and maintenance based on deep learning image recognition, aiming to ensure the safe operation of high-speed trains. It could be serve as a reference book for graduate students and professionals in rail transit and power engineering.
Produktdetaljer
Biographical note
Kai Liu was born in Guizhou, China, in 1990. He received the B.Sc. degree in electrical engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2013, and the Ph.D. degree in electrical engineering from Chongqing University, Chongqing, China, in 2018. He is currently an associate professor of electrical engineering with the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China. He is currently focusing on multi-physical field computation and condition analysis of electrical equipment, online monitoring and fault diagnosis of electrical equipment in power system and rail transportation. He has presided over 20 projects of National Natural Science Foundation of China (NSFC), Sichuan Provincial Natural Science Foundation, and State Grid of China.
Guangning Wu is an associate dean of Institute of Frontier Science and Technology of Southwest Jiaotong University, second-level professor/doctoral supervisor, IEEE fellow, IET fellow, CIGRE B3 national representative of China, distinguished professor of "Changjiang Scholars" of Ministry of education, obtainer of National Science Fund for Distinguished Youth, famous teacher of national "ten thousand talents plan", head of "national key field innovation team" of Ministry of Science and Technology, State-Council Allowance Obtained Expert, host of "High Voltage Technology" National First-class Course, leader of academic and technological in Sichuan Province.