Results 241 to 250 of about 151,158 (307)
Logistics equipment condition monitoring and prediction based on digital twin and machine learning. [PDF]
Han F, Liu L, Sun J.
europepmc +1 more source
Hybrid quantum-classical neural networks for real-time fault detection in power systems. [PDF]
Hashmi H +7 more
europepmc +1 more source
A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]
Nie Q, Geng J, Liu C.
europepmc +1 more source
IHBA-optimized DR-SE-NPCNet for robust open-circuit fault diagnosis in three-level NPC inverters under mixed and noisy conditions. [PDF]
Liu Q, Chen C, Ouyang H, Xiao M, Lei W.
europepmc +1 more source
Machine Learning for Intelligent and Adaptive Communication Systems: From Optimization to Emerging Paradigms. [PDF]
Lee H, Sun Y, Simpson O.
europepmc +1 more source
Time Parallel Simulation for Dynamic Fault Trees
Dynamic Fault Trees (DFT) are a generalization of Fault Trees which allow the evaluation of the reliability of complex and redundant systems. We propose to analyze DFT by a new version of time-parallel simulation method we have recently introduced. This method takes into account the monotonicity of the sample-paths to derive upper and lower bounds of ...
J M Fourneau, Fourneau J M
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Reliability Engineering and System Safety, 2018
The reliability analysis of complex and dynamic systems is often achieved by a quantitative analysis of dynamic fault trees (DFT), which model the system failure, i.e. a specific undesired event called top event, in terms of failures of the components of
Eric Gascard, Zineb Simeu-Abazi
exaly +2 more sources
The reliability analysis of complex and dynamic systems is often achieved by a quantitative analysis of dynamic fault trees (DFT), which model the system failure, i.e. a specific undesired event called top event, in terms of failures of the components of
Eric Gascard, Zineb Simeu-Abazi
exaly +2 more sources
One Net Fits All: A unifying semantics of Dynamic Fault Trees using GSPNs
Dynamic Fault Trees (DFTs) are a prominent model in reliability engineering. They are strictly more expressive than static fault trees, but this comes at a price: their interpretation is non-trivial and leaves quite some freedom.
Sebastian Junges +3 more
semanticscholar +2 more sources

