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Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery
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 …
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 …
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 …
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 …
paper presents a one-dimensional convolutional neural network (1DCNN)-vision …
KESTİRİMCİ BAKIMDA MAKİNE ÖĞRENMESİ: LİTERATÜR ARAŞTIRMASI
Endüstriyel sistemlerdeki makine arızalarını önleyerek üretimde oluşabilecek kesintilerden
kaçınmak ve ilgili maliyetleri azaltmak etkin bir bakım yönetimi ile mümkündür. Etkin bakım …
kaçınmak ve ilgili maliyetleri azaltmak etkin bir bakım yönetimi ile mümkündür. Etkin bakım …
Attention network forecasts time‐to‐failure in laboratory shear experiments
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 …
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
Natural fibre composites are increasingly explored for structural applications due to
improvements in mechanical performance. For this, damage prognostics are crucial. We …
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 …
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 …
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 …
Menu Home Conferences Journals Books About Home Journals AI & Materials Volume 1 Issue …