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Structural Health Monitoring for Advanced Composite Structures: A Review

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TLDR
The main different SHM systems (vibration methods, strain-based fiber optics methods, guided waves, acoustic emission, and nanoparticle-doped resins) are reviewed, and the main issues to be solved are identified.
Abstract
Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The developments of SHM techniques over the last 20 years have been more related to algorithm improvements than to sensor progress, which essentially have been maintained without major conceptual changes (with regards to accelerometers, piezoelectric wafers, and fiber optic sensors). The main different SHM systems (vibration methods, strain-based fiber optics methods, guided waves, acoustic emission, and nanoparticle-doped resins) are reviewed, and the main issues to be solved are identified. Reliability is the key question, and can only be demonstrated through a probability of detection (POD) analysis. Attention has only been paid to this issue over the last ten years, but now it is a growing trend. Simulation of the SHM system is needed in order to reduce the number of experiments.

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References
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Book

Ultrasonic Waves in Solid Media

TL;DR: In this article, the theory of elasticity was introduced and basic formulas and concepts in complex variables in the theory and application of wave propagation were discussed. But the authors did not consider the effects of wave scattering on the wave propagation experiments.
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Vibration-based Damage Identification Methods: A Review and Comparative Study:

TL;DR: A comprehensive review on modal parameter-based damage identification methods for beam- or plate-type structures is presented in this paper, and the damage identification algorithms in terms of signal processing are discussed.
Book

Structural Health Monitoring: A Machine Learning Perspective

TL;DR: 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.
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.
Journal ArticleDOI

A carbon nanotube strain sensor for structural health monitoring

TL;DR: In this paper, a biomimetic artificial neuron was developed by extending the length of the sensor, which is a long continuous strain sensor that has a low cost, is simple to install and is lightweight.
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