Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms

Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms
Author: Chunwei Zhang
Publisher: CRC Press
Total Pages: 245
Release: 2024-11-06
Genre: Technology & Engineering
ISBN: 1040150063

Structural health monitoring is a powerful tool across civil, mechanical, automotive, and aerospace engineering, allowing the assessment and measurement of physical parameters in real time. Processing changes in the vibration signals of a dynamic system can detect, locate, and quantify any damage existing in the system. This book presents a comprehensive state‐of‐the‐art review of the applications in time, frequency, and time‐frequency domains of signal‐processing techniques for damage perception, localization, and quantification in various structural systems. Experimental investigations are illustrated, including the development of a set of damage indices based on the signal features extracted through various signal‐processing techniques to evaluate sensitivity in damage identification. Chapters summarize the application of the Hilbert–Huang transform based on three decomposition methods such as empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. Also, the chapters assess the performance and sensitivity of different approaches, including multiple signal classification and empirical wavelet transform techniques in damage detection and quantification. Artificial neural networks for automated damage identification are introduced. This book suits students, engineers, and researchers who are investigating structural health monitoring, signal processing, and damage identification of structures.

Structural Health Monitoring Based on Data Science Techniques

Structural Health Monitoring Based on Data Science Techniques
Author: Alexandre Cury
Publisher: Springer Nature
Total Pages: 490
Release: 2021-10-23
Genre: Computers
ISBN: 3030817164

The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.

Emerging Design Solutions in Structural Health Monitoring Systems

Emerging Design Solutions in Structural Health Monitoring Systems
Author: Diego Alexander Tibaduiza Burgos
Publisher: IGI Global
Total Pages: 376
Release: 2015-10-07
Genre: Technology & Engineering
ISBN: 1466684917

"This book seeks to advance cutting-edge research in the field, with a special focus on cross-disciplinary work involving recent advances in IT, enabling structural-health experts to wield groundbreaking new models of artificial intelligence as a diagnostic tool capable of identifying future problems before they even appear"--Provided by publisher.

Data-Centric Structural Health Monitoring

Data-Centric Structural Health Monitoring
Author: Mohammad Noori
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 359
Release: 2023-09-04
Genre: Technology & Engineering
ISBN: 311079151X

This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning schemes, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure systems. Leading scholars in the field show how these emerging techniques assure the longevity of engineered systems and predict their life cycles.

Structural Health Monitoring

Structural Health Monitoring
Author: Charles R. Farrar
Publisher: John Wiley & Sons
Total Pages: 735
Release: 2012-11-19
Genre: Technology & Engineering
ISBN: 1118443217

Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

Structural Health Monitoring

Structural Health Monitoring
Author: Ruqiang Yan
Publisher: Springer
Total Pages: 380
Release: 2017-04-29
Genre: Technology & Engineering
ISBN: 331956126X

This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

European Workshop on Structural Health Monitoring

European Workshop on Structural Health Monitoring
Author: Piervincenzo Rizzo
Publisher: Springer Nature
Total Pages: 969
Release: 2021-01-10
Genre: Technology & Engineering
ISBN: 3030645940

This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists. The contents of this volume reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020.

Structural Health Monitoring Using Genetic Fuzzy Systems

Structural Health Monitoring Using Genetic Fuzzy Systems
Author: Prashant M. Pawar
Publisher: Springer Science & Business Media
Total Pages: 135
Release: 2011-07-09
Genre: Science
ISBN: 0857299077

Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture is elucidated within a case-study framework, covering: • SHM of beams; • SHM of composite tubes; and • SHM of helicopter rotor blades. Structural Health Monitoring Using Genetic Fuzzy Systems will be useful for aerospace, civil and mechanical engineers working with structures and structured components. It will also be useful for computer scientists and applied mathematicians interested in the application of genetic fuzzy systems to engineering problems.

Structural Health Monitoring II

Structural Health Monitoring II
Author: Tadeusz Uhl
Publisher:
Total Pages: 454
Release: 2012
Genre: Buildings
ISBN: 9781628708257

The aim of this special collection is to bring together the expertise of scientists and engineers from universities and industry who work in the fields of Structural Health Monitoring, Non-Destructive Evaluation and Condition Monitoring. Networking between diagnostic systems designers and system users is crucial to the successful operation of many SHM systems. The study of damage detection, localization and assessment are important to the rapidly growing area of SHM. Review from Book News Inc.: This volume collects 45 papers from the Second International Conference on Smart Diagnostics of Structures, held in Krakow, Poland, in November of 2011. Academic and industry scientists and engineers from Europe, Australia, and Tunisia working in mechanics, materials engineering, electronics, software engineering, and signal processing, as well as system users from civil engineering, aviation, power plants, wind turbines, chemical and petrochemical plants, and railways sectors address the fields of structural health monitoring, non-destructive evaluation, and condition monitoring, in addition to advanced measurement techniques, signal processing theory and applications, and computation methods. Papers also cover the general theory of technical diagnostics; sensor and measurement systems in diagnostics; analytical and numerical models of technical facilities and their application in diagnostics; algorithms, methods, and diagnostic tools; rotating machinery diagnostics; methods of detection, location, and assessment of failures; artificial intelligence in diagnostics; diagnostics of industrial and mechatronic systems; machineries and industrial systems health management; and economic aspects of technical diagnostics.

Real-Time Structural Health Monitoring of Vibrating Systems

Real-Time Structural Health Monitoring of Vibrating Systems
Author: Basuraj Bhowmik
Publisher: CRC Press
Total Pages: 238
Release: 2022-09-22
Genre: Technology & Engineering
ISBN: 1000707156

Targeted at researchers and practitioners in the field of science and engineering, the book provides an introduction to real time structural health monitoring. Most work to date is based on algorithms that require windowing of the accumulated data, this work presents a coherent transition from the traditional batch mode practice to a recently developed array of recursive approaches. The book mainly focuses on the theoretical development and engineering applications of algorithms that are based on first order perturbation (FOP) techniques. The development of real time algorithms aimed at identifying the structural systems and the inflicted damage, online, through theoretical approaches paves the way for an in-depth understanding of the discussed topics. It then continues to demonstrate the solution to a class of inverse dynamic problems through numerically simulated systems. Extensive theoretical derivations supported by mathematical formulations, pivoted around the simple concepts of eigenspace updates, forms the key cornerstone of the book. The output response streaming in real time from multi degree of freedom systems provide key information about the system’s health that is subsequently utilized to identify the modal parameters and the damage, in real time. Damage indicators connotative of the nature, instant and location of damage, identified in a single framework are developed in the light of real time damage case studies. Backed by a comprehensive assortment of experimental test-beds, this book includes demonstrations to emulate real life damage scenarios under controlled laboratory conditions. Applicability of the proposed recursive methods towards practical problems demonstrate their robustness as viable candidates for real time structural health monitoring.