Piezoelectric transducer-based structural health monitoring for aircraft applications
Structural health monitoring (SHM) is being widely evaluated by the aerospace industry as a
method to improve the safety and reliability of aircraft structures and also reduce operational …
method to improve the safety and reliability of aircraft structures and also reduce operational …
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 …
[CARTE][B] Composite materials for aircraft structures
AA Baker - 2004 - books.google.com
This book is a revised and extended edition to the original 1986 book Composite Materials
for Aircraft Structures, edited by Brian Hoskin and Alan Baker of the then Aeronautical …
for Aircraft Structures, edited by Brian Hoskin and Alan Baker of the then Aeronautical …
Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network
The detection and localization of structural damage in a stiffened skin-to-stringer composite
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
panel typical of modern aircraft construction can be addressed by ultrasonic-guided wave …
Multi-fidelity physics-informed machine learning for probabilistic damage diagnosis
S Miele, P Karve, S Mahadevan - Reliability Engineering & System Safety, 2023 - Elsevier
Abstract Machine learning (ML) models are gaining popularity in structural health monitoring
(SHM) because of their ability to learn the complex relationship between damage and …
(SHM) because of their ability to learn the complex relationship between damage and …
Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring
The successful implementation of Structural Health Monitoring (SHM) systems is confined to
the capability of evaluating their performance, reliability, and durability. Although there are …
the capability of evaluating their performance, reliability, and durability. Although there are …
Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model
Enormous data are continuously collected by the structural health monitoring system of civil
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …
infrastructures. The structural health monitoring data inevitably involve anomalies caused by …
Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm
Within machine learning, several structural damage detection and localization methods
based on clustering and novelty detection methods have been proposed in the recent years …
based on clustering and novelty detection methods have been proposed in the recent years …
A robust Bayesian methodology for damage localization in plate-like structures using ultrasonic guided-waves
SHM methods for damage detection and localization in plate-like structures have typically
relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of …
relied on signal post-processing techniques applied to ultrasonic guided-waves. The time of …
Guided ultrasonic waves propagation imaging: A review
This article presents a comprehensive review of the laser-based guided ultrasonic waves
propagation imaging (G-UPI) system and respective signal/data processing methods related …
propagation imaging (G-UPI) system and respective signal/data processing methods related …