The first complete introduction to health monitoring, encapsulating
both technical information and practical case studies spanning the
breadth of the subject.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 excellentintroductory 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.
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.
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