£107.85

Springer - Structural Health Monitoring: Non-Deterministic Framework

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Description

Structural Health Monitoring: A Non-Deterministic Framework by Springer provides a technical deep dive into damage detection systems for mechanical, civil, and aerospace structures. This volume addresses the real-world challenges of monitoring integrity when dealing with data noise and material property variations that occur during mass production. By applying principles of fuzzy logic, probability theory, and signal processing, the text offers robust approaches to managing model uncertainty. It is designed to help professionals develop systems that remain reliable even when faced with intrinsic variations in material properties. This book serves as a practical resource for understanding how to build more resilient monitoring frameworks in complex engineering environments.

Key Features

Covers damage detection and structural health monitoring for mechanical, civil, and aerospace engineering applications.

Utilizes fuzzy logic and probability theory to build systems that handle data noise effectively.

Addresses material property variations common in mass production processes to improve system robustness.

Provides signal processing techniques to manage model uncertainty in structural monitoring.

Designed for graduate students, researchers, and engineers working in specialized structural health fields.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 May 2020
Listed Since
27 March 2020

Barcode

No barcode data available

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