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Springer Structural Health Monitoring: Advanced Signal Processing - Springer

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£111.82 £107.63 £108.54 £109.46 £110.37 £111.29 £112.20 25 July 2026 13 August 2026 01 September 2026 20 September 2026 09 October 2026
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Description

This comprehensive guide explores the latest advances in signal processing techniques for structural health monitoring, including wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing, sparse representation, and stochastic resonance. Designed for researchers, graduate students, and industry professionals, the book demonstrates how advanced signal processing methods can effectively monitor the health status of critical structures and machines such as wind turbines, gas turbines, and machine tools. Part of Springer's Smart Sensors, Measurement and Instrumentation series (Volume 26), this resource provides essential knowledge for implementing cutting-edge monitoring solutions in real-world applications, offering both theoretical foundations and practical insights into modern structural assessment techniques.

Key Features

Covers advanced signal processing methods including wavelet theory, time-frequency analysis, and empirical mode decomposition for structural health monitoring applications.

Explores compressive sensing and sparse representation techniques to optimise data acquisition and processing in structural monitoring systems.

Discusses stochastic resonance and its applications in enhancing signal detection for critical infrastructure assessment.

Provides practical guidance for monitoring health status of wind turbines, gas turbines, machine tools, and other essential structures.

Part of Springer's Smart Sensors, Measurement and Instrumentation series, Volume 26, offering peer-reviewed expert content.

Suitable for researchers, graduate students, and industry professionals developing or implementing structural health monitoring solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 July 2018
Listed Since
25 July 2018

Barcode

No barcode data available

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