Results 61 to 70 of about 19,544,767 (297)

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Advancing Dynamic Fault Tree Analysis

open access: yesCoRR, 2016
This paper presents a new state space generation approach for dynamic fault trees (DFTs) together with a technique to synthesise failures rates in DFTs. Our state space generation technique aggressively exploits the DFT structure --- detecting symmetries, spurious non-determinism, and don't cares.
Matthias Volk 0001   +2 more
openaire   +2 more sources

From Fault Tree to Credit Risk Assessment: An Empirical Attempt [PDF]

open access: yes
Since 80’, fault tree theory has known a great development in industrial systems’ sector. Its first goal is to estimate and model the probability and events combination which could lead a given system to failure.
Hayette Gatfaoui
core  

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Research on safety analysis for airborne system based on extended functional model

open access: yesAdvances in Mechanical Engineering, 2015
With the widespread use of embedded system in safety critical areas, system safety assurance has become one of the research hotspots of engineering technologies.
Quan Jiang   +4 more
doaj   +1 more source

Fault Diagnosis Scheme Based on Microbial Fuel Cell Model

open access: yesIEEE Access, 2020
Around the world, fossil fuels are decreasing and pollution is increasing. As a new energy source, microbial fuel cells (MFCs) have been widely concerned.
Fengying Ma   +4 more
doaj   +1 more source

Reliability Analysis of an Autonomous Underwater Vehicle Using Fault Tree

open access: yes, 2013
Autonomous underwater vehicle (AUV) is an automatic machine working autonomously without human intervention in underwater environment. It contains hundreds of components. Each component may fail unpredictably or even cause the AUV not to work.
Li GN(李冠男)   +2 more
core  

The Fault Tree Analysis of Causes of the Welded Pipes Failures in Exploitation [PDF]

open access: yes, 2020
Premature failure or damage of parts and components of the oil and gas well piping, as well as pipelines for transport of oil and gas, are generally caused by the simultaneous influence of a large number of technological, metallurgical, structural and ...
Ruzica Nikolic   +10 more
core   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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