Results 161 to 170 of about 46,986 (307)

Model-Based Feedforward Control of Part Height in Directed Energy Deposition. [PDF]

open access: yesMaterials (Basel), 2021
Wang Q   +4 more
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Comparison of volume‐ and surface‐based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler   +17 more
wiley   +1 more source

Inversion-based feedforward design for constrained fractional control systems

open access: yes, 2013
In this paper we propose an input-output inversion-based methodology for the synthesis of the feedforward action for a fractional control system in order to achieve a predefined process variable transition from a steady-state value to another.
Visioli, A.   +4 more
core   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

Self-tuning disturbance feedforward control with drift prevention for air mount systems

open access: yes, 2015
A MIMO disturbance feedforward control strategy is presented to isolate an industrial active vibration isolation system with air mounts from broadband floor vibrations.
Butler, H., Beijen, M.A., Heertjes, M.F.
core   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

An Introduction to Feedforward Control of Electric Drives

open access: yesAdvances in Electrical and Electronic Engineering, 2010
The field of electric drives provides a broad spectrum of applications with different power demands, utilized motor types or different environment requirements. Lot of applications are characterized by very high demands on accuracy and dynamic properties
Michal Malek   +2 more
doaj  

Home - About - Disclaimer - Privacy