Results 61 to 70 of about 2,010,994 (219)
Advanced Functional Materials, EarlyView.A meniscus‐guided microtransfer molding strategy enables scalable fabrication of grid‐type molecular martensite films with b‐axis‐correlated preferential texture. Sequential growth across microchannel intersections creates structurally continuous grids and robust thermoelastic actuation (∼11% strain, > 50 cycles, maximum force density: 7.1 × 109 N m−3).
Sooyeon Ra +15 more
wiley +1 more source
DGA-Based Stochastic Degradation Modeling and Maintenance Optimization for Power Transformers [PDF]
E3S Web of ConferencesPower transformers are critical assets whose degradation monitoring and maintenance optimization remain key challenges in reliability engineering.
Tran Huy Vu +2 more
doaj +1 more source
Decision Framework for Predictive Maintenance Method Selection [PDF]
, 2023 Many asset owners and maintainers have the ambition to better predict the future state of their equipment to make timely and better-informed maintenance decisions.
Tiedo Tinga +6 more
core +2 more sources
3D Hydrodynamic Flow Lithography
Advanced Functional Materials, EarlyView.ABSTRACT Continuous‐ and stop‐flow lithography are widely used to fabricate multi‐dimensional microstructures whose cross‐sectional morphology is dictated by the flow profile of multiple co‐flowing streams. Here, we introduce three‐dimensional hydrodynamic flow lithography (3D HFL), a platform for programmable generation of multi‐layered flow profiles ...
Yiying Zou +5 more
wiley +1 more source
Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques [PDF]
PeerJ Computer ScienceEquipment downtime resulting from maintenance in various sectors around the globe has become a major concern. The effectiveness of conventional reactive maintenance methods in addressing interruptions and enhancing operational efficiency has become ...
Ida Hector, Rukmani Panjanathan
doaj +2 more sources
AI Applications in Predictive Maintenance (PdM) for Industrial Mechanical Systems
Abstract: AI-powered Predictive Maintenance (PdM) has emerged as a transformative strategy for optimizing industrial efficiency and asset management. This approach moves beyond traditional time-based or reactive maintenance by leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) algorithms to anticipate equipment failures before ...
Mohammad F. Kh. A. Alenezi +1 more
openaire +2 more sources
Predictive Maintenance (PdM) menggunakan Active dan Semi-Supervised Machine Learning Pada Mesin Industri [PDF]
, 2021 Sejalan dengan kemajuan Industri 4.0 dengan peluang pemanfaatan sensor dan teknologi Machine Learning (ML), menjadikan praktik Predictive Maintenance (PdM) lebih mudah dilakukan.
Andriani, Adelina Zian
core
Advanced Functional Materials, EarlyView.Using nanobeam photoemission, we demonstrate imaging of the in‐plane and out‐of‐plane electric field landscape within a metal–semiconductor van der Waals heterostructure. We provide evidence for Schottky barrier formation that depends on the semiconductor thickness. ABSTRACT Achieving high‐performance optoelectronic devices based on two‐dimensional van
Dario Mastrippolito +17 more
wiley +1 more source
Applied SciencesPredictive maintenance (PdM) of biomedical equipment is increasingly recognized as a strategic lever to enhance reliability and ensure continuity of care.
Jihanne Moufid +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source