Spacecraft System Health Management
Current Practices and Emerging Technologies
Published on 12. December 2024
Book
Paperback/Softback
284 pages
978-1-4686-0779-6 (ISBN)
Description
Ensuring the safe and reliable operation of spacecraft is a complex task that requires advanced technologies and innovative approaches.
This comprehensive guide provides a deep dive into the world of spacecraft system health management. From understanding the intricacies of spacecraft systems to exploring cutting-edge technologies like AI and digital twins, this book offers a valuable resource for anyone interested in the field.
Key Features:
- Clear and accessible language: The book is written for both technical experts and general readers, making it easy to understand complex concepts.
- Real-world examples: Case studies and examples from actual missions bring the theoretical concepts to life.
- Future-focused: The book explores emerging technologies that are shaping the future of spacecraft health management, giving readers a glimpse into the future of space exploration.
Whether you're a seasoned space engineer or simply curious about the wonders of space exploration, this book offers valuable insights into the critical role of system health management in ensuring mission success.
In addition to its technical depth, the book also explores the broader implications of spacecraft health management. It discusses the ethical and societal considerations involved in space exploration and the importance of responsible innovation. By understanding these factors, readers can gain a well-rounded perspective on the field.
Spacecraft System Health Management is an essential resource for anyone interested in the future of space exploration. It provides a comprehensive overview of the key concepts and technologies, making it a valuable tool for students, researchers, and professionals alike.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 254 mm
Width: 203 mm
Thickness: 18 mm
Weight
908 gr
ISBN-13
978-1-4686-0779-6 (9781468607796)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Dr. Samir Khan is an Associate Professor at the University of Tokyo. His expertise lies in leveraging machine learning for prognostics and system health management, with applications across aerospace and other high-reliability sectors. Dr. Khan received his PhD in Control Engineering from Loughborough University, UK, in 2010. Dr. Khan's early work at Cranfield University, particularly through the "No Fault Found" project, has had a lasting impact on the aerospace industry. In 2016, he was awarded the prestigious Japan Society for the Promotion of Science (JSPS) Fellowship, where he developed innovative informatics platforms for next-generation health monitoring services. Dr. Khan has a strong record of collaboration with leading industrial organizations, including Rolls-Royce, Sumitomo Electric Industries, JAXA, Jaguar Land Rover, BAE Systems, and the UK Ministry of Defence. His work bridges academic research and industry applications, demonstrated by over 50 peer-reviewed publications and numerous invitations to present at top international conferences. Dr. Khan has developed and taught courses on digital and analog electronic design, instrumentation, control systems, AI, and robotics. Dr. Khan is a Chartered Engineer, a Fellow of the UK Higher Education Academy, and a member of the Institution of Engineering and Technology (IET) and the Institute of Electrical and Electronics Engineers (IEEE).