Written by a highly-respected figure in structural health monitoring, this book provides readers with the technical skills and practical understanding required to solve new problems encountered in the emerging field of health monitoring. The book presents a suite of methods and applications in loads identification (usage monitoring), in-situ damage identification (diagnostics), and damage and performance prediction (prognostics). Concepts in modelling, measurements, and data analysis are applied through real-world case studies to identify loading, assess damage, and predict the performance of structural components, as well as examine engine components, automotive accessories, aircraft parts, spacecraft components, civil structures and defence system components.
In particular the book:
- provides the reader with a fundamental and practical understanding of the material;
- discusses models demonstrating the physical basis for health monitoring techniques;
- gives a detailed review of the best practices in dynamic measurements including sensing;
- presents numerous data analysis techniques using model- and signal-based methods;
- discusses case studies involving real-world applications of health monitoring;
- offers end-of-chapter problems to enhance the study of the topic for students and instructors; and
- includes an accompanying website with MATLAB programs providing hands-on training to readers for writing health monitoring model simulation and data analysis algorithms.
Health Monitoring of Structural Materials and Components is an excellent introductory text for newcomers to the subject as well as an excellent study tool for students and lecturers. Practitioners and researchers, those with a greater understanding and application of the technical skills involved, will also find this essential reading as a reference text to address current and future challenges in this field. The wide variety of case studies will appeal to a broad spectrum of engineers in the aerospace, civil, mechanical, machinery and defence communities.
Keywords: SCIENCE / System Theory SCI064000