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Ultrasonic detection methods for mechanical characterization and damage diagnosis of advanced composite materials: A review
Advanced composite materials are prone to various types of damage during-manufacturing
and long-time service. Ultrasonic detection methods have been widely employed to detect …
and long-time service. Ultrasonic detection methods have been widely employed to detect …
Guided wave based structural health monitoring: A review
The paper provides a state of the art review of guided wave based structural health
monitoring (SHM). First, the fundamental concepts of guided wave propagation and its …
monitoring (SHM). First, the fundamental concepts of guided wave propagation and its …
[HTML][HTML] Guided waves in long range nondestructive testing and structural health monitoring: Principles, history of applications and prospects
The early work on long range guided wave nondestructive testing (NDT) was largely done in
industry, and multiple applications were developed before a surge in academic interest …
industry, and multiple applications were developed before a surge in academic interest …
Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data
This paper presents a new methodology–based on cointegration analysis of Supervisory
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
Control And Data Acquisition (SCADA) data–for condition monitoring and fault diagnosis of …
Tap** and listening: A new approach to bolt looseness monitoring
Bolted joints are among the most common building blocks used across different types of
structures, and are often the key components that sew all other structural parts together …
structures, and are often the key components that sew all other structural parts together …
Structural health monitoring of adhesive joints using Lamb waves: A review
In the past decades, Lamb waves (LW) have seen encouraging results when applied to non
destructive testing (NDT) and structural health monitoring (SHM), with important research …
destructive testing (NDT) and structural health monitoring (SHM), with important research …
Structural damage detection using deep learning and FE model updating techniques
The structural condition can be estimated by various methods. Damage detection, as one of
those methods, deals with identifying changes in specific features within structural behavior …
those methods, deals with identifying changes in specific features within structural behavior …
Damage detection under environmental and operational effects using cointegration analysis–application to experimental data from a cable-stayed bridge
One of the main challenges that Structural Health Monitoring (SHM) faces when transitioning
from academia to real-world applications is the discernment between structural changes due …
from academia to real-world applications is the discernment between structural changes due …
Temperature variation compensated damage classification and localisation in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models
Conventional damage localisation algorithms used in ultrasonic guided wave-based
structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In …
structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In …
An iterative frequency-domain envelope-tracking filter for dispersive signal decomposition in structural health monitoring
Dispersive signals are omnipresent in structural health monitoring and nondestructive
testing. Due to the strong dispersion and multimodal characteristics, such signals often …
testing. Due to the strong dispersion and multimodal characteristics, such signals often …