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
M Mitra, S Gopalakrishnan - Smart Materials and Structures, 2016 - iopscience.iop.org
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 …
Environmental and operational conditions effects on Lamb wave based structural health monitoring systems: A review
Lamb wave is widely recognized as one of the most encouraging tools for structural health
monitoring (SHM) systems. In spite of many favourable characteristics of Lamb wave for …
monitoring (SHM) systems. In spite of many favourable characteristics of Lamb wave for …
Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics
H Sarmadi, A Entezami… - Structural Control and …, 2021 - Wiley Online Library
Environmental variability is still a major challenge in structural health monitoring. Due to the
similarity of changes caused by environmental variations to damage, false positive and false …
similarity of changes caused by environmental variations to damage, false positive and false …
Seismic response prediction method for building structures using convolutional neural network
In this study, a method of predicting the seismic responses of building structures based on a
convolutional neural network (CNN) is proposed. In the method, the time histories of …
convolutional neural network (CNN) is proposed. In the method, the time histories of …
Deep learning based crack damage detection technique for thin plate structures using guided lamb wave signals
In this paper, convolutional neural network (CNN) is employed for crack damage detection in
thin aluminum plates. Identifying a successful damage feature is a critical step in …
thin aluminum plates. Identifying a successful damage feature is a critical step in …
[HTML][HTML] A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent
years, promoting higher-level automation and decision-making in flaw detection and …
years, promoting higher-level automation and decision-making in flaw detection and …
Dual crack growth prognosis by using a mixture proposal particle filter and on-line crack monitoring
On-line prognosis of fatigue cracks in the structure is challenging due to various
uncertainties affecting fatigue crack initiation and growth. This paper proposes an on-line …
uncertainties affecting fatigue crack initiation and growth. This paper proposes an on-line …
Enhanced nonlinear crack‐wave interactions for structural damage detection based on guided ultrasonic waves
The paper presents a new damage‐detection method based on nonlinear crack‐wave
interaction. Low‐frequency vibration excitation is introduced to perturb damage, and high …
interaction. Low‐frequency vibration excitation is introduced to perturb damage, and high …
Micro-mechanical damage diagnosis methodologies based on machine learning and deep learning models
S Shamsirband, N Mehri Khansari - Journal of Zhejiang University …, 2021 - Springer
A loss of integrity and the effects of damage on mechanical attributes result in macro/micro-
mechanical failure, especially in composite structures. As a progressive degradation of …
mechanical failure, especially in composite structures. As a progressive degradation of …