Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review

MM Azad, S Kim, YB Cheon, HS Kim - Advanced Composite …, 2024 - Taylor & Francis
Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …

Advances in Prognostics and Health Management for Aircraft Landing Gear—Progress, Challenges, and Future Possibilities

I Raouf, P Kumar, Y Cheon, M Tanveer, SH Jo… - International Journal of …, 2024 - Springer
Prognostics and health management (PHM) has developed into a crucial discipline because
of its never-ending pursuit of safety, effectiveness, and dependability. The aircraft Landing …

Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures

MM Azad, HS Kim - Composite Structures, 2024 - Elsevier
This article presents a robust autonomous damage diagnosis method using hybrid deep
convolutional networks for the damage diagnosis of laminated composite structures …

Intelligent computational methods for damage detection of laminated composite structures for mobility applications: a comprehensive review

MM Azad, Y Cheon, I Raouf, S Khalid… - Archives of Computational …, 2024 - Springer
The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

Data-driven prognosis of multiscale and multiphysics complex system anomalies: its application to lithium-ion batteries failure detection

L Liu - Journal of The Electrochemical Society, 2023 - iopscience.iop.org
Advancements in experimental and modeling techniques allow for in-depth analysis of
multiphysics phenomena in complex systems with unprecedented sophistication and details …

Delamination detection framework for the imbalanced dataset in laminated composite using wasserstein generative adversarial network-based data augmentation

S Kim, MM Azad, J Song, H Kim - Applied Sciences, 2023 - mdpi.com
As laminated composites are applied more commonly, Prognostics and Health Management
(PHM) techniques for the maintenance of composite systems are also attracting attention …

[HTML][HTML] Fatigue and residual strain monitoring for thermoplastic composite using embedded FBG inscribed in highly‑birefringent side-hole elliptical core optical fiber

K Wachtarczyk, N Yadav, A Błachut, P Gąsior… - Measurement, 2024 - Elsevier
Monitoring of thermoplastic carbon reinforced composites is critical for the safe operation
and optimization of composite structures. Strain measurement during their manufacturing …

A Review of Hydraulic Cylinder Faults, Diagnostics, and Prognostics

P Kumar, S Park, Y Zhang, SH Jo, HS Kim… - International Journal of …, 2024 - Springer
Hydraulic cylinders are typical actuators that are used in many industries, including
manufacturing and construction machinery. Due to the wide application of cylinders, cylinder …

Deep Learning-Based Fracture Mode Determination in Composite Laminates

MM Azad, AUR Shah, MN Prabhakar… - Journal of the …, 2024 - koreascience.kr
This study focuses on the determination of the fracture mode in composite laminates using
deep learning. With the increase in the use of laminated composites in numerous …

[HTML][HTML] Structural design parameters of laminated composites for marine applications: Milestone study and extended review on current technology and engineering

DP Islami, AF Muzaqih, R Adiputra, AR Prabowo… - Results in …, 2024 - Elsevier
The demand for the application of laminated composite materials is getting significant in the
marine industry due to the advantages of use and life, maintenance, and efficiency of …