Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery

Y Wang, Y Lei, N Li, T Yan, X Si - Reliability Engineering & System Safety, 2023 - Elsevier
With the increasing demand for stability, safety, and reliability of commissioned machines,
diverse types of sensors are positioned on key components. To exploit these multisource …

[HTML][HTML] Deep learning approach for damage classification based on acoustic emission data in composite materials

F Guo, W Li, P Jiang, F Chen, Y Liu - Materials, 2022 - mdpi.com
Damage detection and the classification of carbon fiber-reinforced composites using non-
destructive testing (NDT) techniques are of great importance. This paper applies an acoustic …

A deep learning method for damage prognostics of fiber-reinforced composite laminates using acoustic emission

D Xu, PF Liu, ZP Chen - Engineering Fracture Mechanics, 2022 - Elsevier
Damage prognostics of fiber-reinforced composites using advanced nondestructive test
techniques is of great significance due to their complicated damage mechanisms. This …

Identification of engine faults based on acoustic emission signals using a 1DCNN-ViT ensemble model

S Wang, T Liu, K Luo, G Yang - Measurement Science and …, 2022 - iopscience.iop.org
In view of the complexity of the engine mechanical structure and the diversity of faults, this
paper presents a one-dimensional convolutional neural network (1DCNN)-vision …

KESTİRİMCİ BAKIMDA MAKİNE ÖĞRENMESİ: LİTERATÜR ARAŞTIRMASI

DR Dündar, İ Sarıçiçek, E Çinar… - … Mühendislik ve Mimarlık …, 2021 - dergipark.org.tr
Endüstriyel sistemlerdeki makine arızalarını önleyerek üretimde oluşabilecek kesintilerden
kaçınmak ve ilgili maliyetleri azaltmak etkin bir bakım yönetimi ile mümkündür. Etkin bakım …

Attention network forecasts time‐to‐failure in laboratory shear experiments

H Jasperson, DC Bolton, P Johnson… - Journal of …, 2021 - Wiley Online Library
Rocks under stress deform by creep mechanisms that include formation and slip on small‐
scale internal cracks. Intragranular cracks and slip along grain contacts release energy as …

[HTML][HTML] Remaining useful life prediction of flax fibre biocomposites under creep load by acoustic emission and deep learning

J Hao, M Rupp, SV Lomov, CA Fuentes… - Composites Part A …, 2025 - Elsevier
Natural fibre composites are increasingly explored for structural applications due to
improvements in mechanical performance. For this, damage prognostics are crucial. We …

Damage detection and classification of carbon fiber-reinforced polymer composite materials based on acoustic emission and convolutional recurrent neural network

YF Shao, F Guo, P Jiang, W Li… - Structural Health …, 2024 - journals.sagepub.com
Carbon fiber-reinforced polymer (CFRP) composite laminates generate acoustic emission
signals during the tensile process, which can be used to identify the type of acoustic …

[หนังสือ][B] Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind Turbine Blades

P Liu - 2023 - books.google.com
Acoustic Emission Signal Analysis and Damage Mode Identification of Composite Wind
Turbine Blades covers both the underlying theory and various techniques for effective …

[HTML][HTML] Research progress on SiCf/SiC composites and their cladding components

L Shen, X Li, Y Zhang, W Yan, Y Dai, H Li, J Xu - AI & Materials, 2024 - elspub.com
Research progress on SiCf/SiC composites and their cladding components | ELSPublishing
Menu Home Conferences Journals Books About Home Journals AI & Materials Volume 1 Issue …