Bøker av Xiang Li

This book presents systematic overviews and bright insights into big data-driven intelligent fault diagnosis and prognosis for mechanical systems. The recent research results on deep transfer learning-based fault diagnosis, data-model fusion remaining useful life (RUL) prediction, etc., are focused on in the book. The contents are valuable and interesting to attract academic researchers, practitioners, and students in the field of prognostics and health management (PHM). Essential guidelines are provided for readers to understand, explore, and implement the presented methodologies, which promote further development of PHM in the big data era.Features:Addresses the critical challenges in the field of PHM at presentPresents both fundamental and cutting-edge research theories on intelligent fault diagnosis and prognosisProvides abundant experimental validations and engineering cases of the presented methodologies

This book introduces readers to environmental background investigation, pollution source intensity evaluation and risk assessment approaches used at three main types of groundwater-contaminated sites: municipal domestic waste landfills, hazardous waste landfills and oil-contaminated sites.

This book provides a comprehensive presentation on energy-efficient management in urban rail transit system via operations research and uncertain optimization methods. The readers will learn numerous new modeling ideas on reducing tractive energy consumption and improving regenerative energy utilization, and find this work a useful reference.

This book provides international readers with a fresh outlook on China's tort law system, exploring its principles, theories and history. It features real cases to explain the application of China's tort laws and the meaning of the corresponding statutes.

It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.