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Structural Health Monitoring: A Machine Learning Perspective
Charles R. Farrar,Keith Worden +1 more
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TLDR
This book focuses on structural health monitoring in the context of machine learning and includes case studies that review the technical literature and include case studies.Abstract:
This book focuses on structural health monitoring in the context of machine learning. The authors review the technical literature and include case studies. Chapters include: operational evaluation, sensing and data acquisition, introduction to probability and statistics, machine learning and statistical pattern recognition, and data prognosis.read more
Citations
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Journal ArticleDOI
Guided wave based structural health monitoring: A review
TL;DR: In this paper, the authors provide a state-of-the-art review of guided wave based structural health monitoring (SHM) and highlight the future directions and open areas of research in guided wave-based SHM.
Journal ArticleDOI
A review of vibration-based damage detection in civil structures : from traditional methods to Machine Learning and Deep Learning applications
TL;DR: This paper aims to fulfill the gap by presenting the highlights of the traditional methods and provide a comprehensive review of the most recent applications of ML and DL algorithms utilized for vibration-based structural damage detection in civil structures.
Journal ArticleDOI
A New Frontier of Printed Electronics: Flexible Hybrid Electronics.
TL;DR: The fundamental building blocks of an FHE system, printed sensors and circuits, thinned silicon ICs, printed antennas, printed energy harvesting and storage modules, and printed displays, are discussed and the recent progress, fabrication, application, and challenges, and an outlook, related to FHE are presented.
Journal ArticleDOI
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
TL;DR: This paper focuses on data-driven methods for PdM, presents a comprehensive survey on its applications, and attempts to provide graduate students, companies, and institutions with the preliminary understanding of the existing works recently published.
Journal ArticleDOI
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
TL;DR: This work has shown that structural health monitoring techniques have been widely used in long-span bridges but, due to limitations of computational ability and data analysis methods, the knowledge in these techniques is limited.
References
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Journal ArticleDOI
Damage detection from changes in curvature mode shapes
TL;DR: In this article, a new parameter called curvature mode shape is investigated as a possible candidate for identifying and locating damage in a structure, and it is shown that the absolute changes in the curvature shape are localized in the region of damage and hence can be used to detect damage.
Journal ArticleDOI
Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward
TL;DR: In this article, Niezrecki et al. summarized the hardware and software issues of impedance-based structural health modi- toring based on piezoelectric materials.
Book
Reliability-centered maintenance
TL;DR: Reliability-centered maintenance is a process used to determine systematically and scientifically what must be done to ensure that physical assets continue to do what their users want them to do.
Journal ArticleDOI
Review of guided-wave structural health monitoring
TL;DR: This paper begins with an overview of damage prognosis, and a description of the basic methodology of guided-wave SHM, then reviews developments from the open literature in various aspects of this truly multidisciplinary field.
Book
Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications
TL;DR: In this article, a comprehensive survey of the application of vibration analysis to the condition monitoring of machines is presented, including basic signal processing techniques; fault detection; diagnostic techniques, and prognostics.