Nanoscale Tailoring of Bulk High Entropy Alloys for Structural and Functional Applications. [PDF]
Niu M, Song J, Liu G.
europepmc +1 more source
Multistructural and Multiscale Instability Characterization of Gas-Liquid Two-Phase Flow with MRA-CMESSE. [PDF]
Sun QM, Yu QC, Ba D.
europepmc +1 more source
Robust Incipient Fault Diagnosis of Rolling Element Bearings Under Small-Sample Conditions Using Refined Multiscale Rating Entropy. [PDF]
Wu S, Liu H, Tao L.
europepmc +1 more source
**Multiscale Decomposition of Mathematical Objects (MDMO)**
This record contains a research paper preprint and its associated PDF document.
openaire +1 more source
Multiscale modes of functional brain connectivity. [PDF]
Farahibozorg SR +4 more
europepmc +1 more source
The coupled reanalysis global meridional overturning circulation imprinted by historic volcanic eruptions. [PDF]
Jiang Y +13 more
europepmc +1 more source
Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang +7 more
wiley +1 more source
Digital twin-driven multiscale modelling for real-time defect prediction in metal additive manufacturing. [PDF]
Alfattani R, Hotami MM.
europepmc +1 more source
Fundamentals, Advances, and Applications of Electrospun Nanofibrous 3D Materials
Three‐dimensional electrospun nanofibrous systems offer unique properties and microenvironments. These properties are determined by the fabrication strategies employed and can be adjusted by the incorporation of functional additives to achieve multifunctionality for specific applications. The applications range from the biomedical to the environmental,
Rebecca Hengsbach +4 more
wiley +1 more source
Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]
Tang M +6 more
europepmc +1 more source

