Results 71 to 80 of about 2,010,994 (219)

Application of AI-based Predictive Maintenance for Industrial Processes

Tehnički Glasnik
Modern industry is increasingly relying on digital technologies to optimize maintenance processes, reduce costs and ultimately increase productivity.
Marko Fabić
doaj   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Screening of Machine Learning Techniques on Predictive Maintenance: a Scoping Review

, 2023
Predictive maintenance (PdM) is a set of actions and techniques to early detect failures and defects on machines before they occur, and the usage of machine learning and deep learning techniques in predictive maintenance has increased during the last ...
Luque Sendra, Amalia, Mazzoleni, Mirko, Ferramosca, Antonio, Campos Olivares, Daniel, Carrasco Muñoz, Alejandro   +4 more
core   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Predictive Maintenance using Machine Learning [PDF]

, 2022
Predictive maintenance (PdM) is a concept, which is implemented to effectively manage maintenance plans of the assets by predicting their failures with data driven techniques. In these scenarios, data is collected over a certain period of time to monitor
Nigade, Sarish S., Kore, Ashutosh S., Kane, Archit P., Khandale, Advait N., Joshi, Pranjali P.   +4 more
core   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

Advanced Healthcare Materials, EarlyView.
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz, Manuel P. Kainz, Niklas Haider, Theresa Rienmüller, Kerstin Lenk, Rupert Kargl, Michele Terzano, Gerhard Sommer, Gerhard A. Holzapfel, Julia Fuchs   +9 more
wiley   +1 more source

Predictive maintenance optimization for industrial equipment via reliable prognosis and risk-aware reinforcement learning

Complex & Intelligent Systems
Predictive maintenance (PdM) based on Remaining Useful Life (RUL) prediction plays a crucial role in improving performance and reducing lifecycle costs of industrial equipment.
Zifei Xu, Qiang Zhang
doaj   +1 more source

Patient‐Derived 3D Heart‐On‐a‐Chip Model of Dilated Cardiomyopathy With Embedded Bead‐Based Mapping of Tissue Contractility

Advanced Healthcare Materials, EarlyView.
A heart‐on‐a‐chip model of dilated cardiomyopathy is developed from patient‐derived induced pluripotent stem cells. The model recapitulates key disease phenotypes and enables functional assessment through integrated bead‐based tracking and pillar deflection measurements.
Ali Mousavi, Ludovic Mouttet, Shihao Cui, Yasaman Hekmatnia, Mehran Mottahedi, Ida Derish, Naimeh Rafatian, Mark Aurousseau, Gregor Andelfinger, Renzo Cecere, Houman Savoji   +10 more
wiley   +1 more source

Systematic review of predictive maintenance practices in the manufacturing sector

Intelligent Systems with Applications
Predictive maintenance (PDM) is emerging as a strong transformative tool within Industry 4.0, enabling significant improvements in the sustainability and efficiency of manufacturing processes.
Abdeldjalil Benhanifia, Zied Ben Cheikh, Paulo Moura Oliveira, Antonio Valente, José Lima   +4 more
doaj   +1 more source

How is Nanoarchitectonics Shaping Extracellular Vesicle Research?

Advanced Healthcare Materials, EarlyView.
The convergence of nanoarchitectonics and extracellular vesicle biology is reshaping next‐generation nanomedicine by enabling rationally designed nanostructures for enhanced EVs detection, engineering, and therapy. ABSTRACT Extracellular vesicles (EVs) have gained recognition as crucial mediators of cell‐to‐cell communication, holding immense potential
Madushani Dahanayake, Md Shahriar A. Hossain, Chia‐Hung Liu, Carlos Salomon, Yusuke Yamauchi, Mostafa Kamal Masud   +5 more
wiley   +1 more source