Artificial Self Recovery And Autonomous Health Of Machine
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Artificial Self-recovery and Autonomous Health of Machine
This book explores the research fields of engineering cybernetics, bionics, artificial self-recovery and engineering self-recoveries. It explains the scientific and technological research results of artificial self-recovery, autonomous health technology and the application cases of assisted rehabilitation and autonomous health engineering. It provides guidance, latest research trends and development direction for researchers, scholars and engineers engaged in mechanical equipment fault diagnosis and autonomous health.
Self-healing Materials
This book highlights the transformative potential of self-healing materials in addressing global challenges related to sustainability, durability, and efficiency across industries. By bridging the disciplines of physics, chemistry, and engineering, it provides a comprehensive exploration of self-healing mechanisms, material classifications, and cutting-edge applications in energy systems, biomedical devices, and infrastructure. The book also delves into the thermodynamics, kinetics, and biomimetic inspirations driving advancements in this field. With an emphasis on scalability, environmental impact, and future technologies, this resource equips researchers, engineers, and professionals with the knowledge to innovate and implement sustainable solutions. It is an essential guide for those aiming to contribute to a circular economy and design materials for a more resilient and eco-friendly future.
Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4
This book is the fourth volume of proceedings of the 1st Electrical Artificial Intelligence Conference (EAIC 2024). Artificial intelligence and low-carbon economy are two vibrant research fields in the world today. To achieve the goal of carbon neutrality not only signifies a significant transformation in the economic growth mode and a profound adjustment of energy systems but also has equally significant implications for the global economic and social transformation. In the wave of the rapid development of digital economy, artificial intelligence has become an important driving force for promoting high-quality economic and social development. In the path to the “Dual Carbon” goals, which are the “Peak Carbon Dioxide Emissions” goal and the “Carbon Neutrality” goal, artificial intelligence will play an important role especially in energy conservation and carbon reduction in the electrical field, which is worthy of in-depth exploration and research. In order to promote the deep integration of the electrical engineering and artificial intelligence, successfully achieve the "dual carbon" goals, and promote green, low-carbon, and high-quality development, the China Electrotechnical Society and relevant units jointly held the 1st Electrical Artificial Intelligence Conference in Nanjing, China during the 6th~8th December, 2024. The conference invited well-known experts with significant influence in the fields of electrical engineering and artificial intelligence to jointly explore the application of artificial intelligence in the optimization design, fault diagnosis, intelligent control, and optimized operation of electrical equipment, promote the integration of artificial intelligence innovations and various application scenarios, and actively lead the trend of technological innovation.