Results 71 to 80 of about 5,413 (299)
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps
IEEE Access, 2019 The term web-app defines the current dynamic pragmatics of the website, where the user has control. Finding faults in such dynamic content is challenging, as to whether the fault is exposed or not depends on its execution path.
Deepak Kumar Jain +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
An online-integrated condition monitoring and prognostics framework for rotating equipment [PDF]
, 2014 Detecting abnormal operating conditions, which will lead to faults developing later, has important economic implications for industries trying to meet their performance and production goals.
Alrabady, Linda Antoun Yousef
core
Reliability modelling and analysis of a multi-state element based on a dynamic Bayesian network [PDF]
Royal Society Open Science, 2018 This paper presents a quantitative reliability modelling and analysis method for multi-state elements based on a combination of the Markov process and a dynamic Bayesian network (DBN), taking perfect repair, imperfect repair and condition-based ...
Zhiqiang Li +4 more
doaj +1 more source
Quantitative Analysis of Dynamic Fault Trees Based on the Structure Function [PDF]
Quality and Reliability Engineering International, 2013 This paper presents a probabilistic model of dynamic gates which allows to perform the quantitative analysis of any dynamic fault tree (DFT) from its structure function. Both these probabilistic models and the quantitative analysis which can be performed thanks to them can accommodate any failure distribution of basic events. We illustrate our approach
Guillaume Merle +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Multiscale experiments and modeling reveal how Ti3C2Tx MXene nanosheets reinforce PVDF nanocomposites. An optimal MXene loading (∼1 wt.%) nearly doubles tensile strength through efficient stress transfer, flake alignment, and crack‐deflection mechanisms, transforming ductile polymer behavior into a controlled multi‐stage fracture pathway which aligns ...
Bita Soltan Mohammadlou +5 more
wiley +1 more source
Reliability modeling of remote in-situ measurement system for coal seam gas pressure
Meikuang AnquanAiming at the technical problems existing in coal seam gas pressure measurement via directional long boreholes, a remote in-situ measurement system was developed.
Hong XIE, Zhuo WANG
doaj +1 more source
Fault diagnosis for electro-hydraulic control system of hydraulic support based on big data
Gong-kuang zidonghua, 2018 In view of problem that manual trouble shooting method of electro-hydraulic control system of hydraulic support cannot accurately locate certain random faults or individual system faults, hardware equipment of traditional electro-hydraulic control system
ZHANG Xuemei
doaj +1 more source