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Structural System Identification and Health Monitoring : A Primer

By: (Author) Eleni N. Chatzi , (Author) Konstantinos Tatsis , (Author) Vasilis Dertimanis

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Ksh 20,700.00

Format: Hardback or Cased Book

ISBN-10: 1498731384

ISBN-13: 9781498731386

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Apr 1st, 2026

Print length: 552 Pages

Weight: 453 grams

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This graduate textbook and professional guide introduces system identification methods of SHM. Both parametric and non-parametric methods are formulated in the time or frequency domain. It also covers state and parameter identification, identifying behavior beyond the elastic region, and non-stationarity. Along with Python code.

Our built infrastructure comprises an evolving organism, which requires monitoring and diagnostics throughout its service life in order to ensure a reliable and safe operation. To this end, Structural Identification (St-Id) exploits sensory feedback in order to reveal an abundance of information on the system throughout its life-cycle. The decoding of this information into an adequate representation of the system, may in turn serve as a tool for life-cycle assessment, maintenance planning and early prognosis and warning.

This graduate level textbook and professional guide provides both an overview of well-established structural identification methods, as well as an introduction to selected advanced state-of-the-art tools, which are particularly suited for implementation in a practical setting. Both parametric and non-parametric methods are discussed, formulated in the time or frequency domain. The challenging issues of state and parameter identification are addressed. Moreover, special topics pertaining to nonlinear and non-stationarity behavior are further visited. The presented methods are demonstrated using MATLAB, with sample code provided for the featured examples.


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