Results 61 to 70 of about 749 (240)

PdM-FSA: predictive maintenance framework with fault severity awareness in Industry 4.0 using machine learning

International Journal of Electrical and Computer Engineering (IJECE)
Predictive maintenance contributes to Industry 4.0, as it enables a decrease in maintenance costs and downtime while aiming to increase production and return on investment. Despite the increasing utilization of machine learning techniques in predictive maintenance in industrial systems over the past few years, several challenges remain to be addressed ...
Donatien Koulla Moulla, Ernest Mnkandla, Moussa Aboubakar, Abba Ari Ado Adamou, Alain Abran   +4 more
openaire   +1 more source

A Synovium‐on‐Chip Platform to Study Multicellular Interactions in Arthritis

Advanced Healthcare Materials, EarlyView.
The Synovium‐on‐Chip comprises a thin microporous PDMS membrane to support co‐culture of fibroblast‐like synoviocytes (FLS), THP‐1‐derived macrophages, and endothelial cells, enabling real‐time analysis of synovial‐vascular interactions. FLS migration through the pores drives endothelial remodeling, while TNF‐α stimulation induces robust inflammatory ...
Laurens R. Spoelstra, Fleur R. Semmekrot, Nuno Araújo‐Gomes, Daniël Wijnperle, Monique M. A. Helsen, Martijn H.J. Van Den Bosch, Loes. I. Segerink, Séverine Le Gac, Marcel Karperien   +8 more
wiley   +1 more source

Injectable Stimuli‐Responsive Amphiphilic Hydrogel for Rapid Hemostasis, Robust Tissue Adhesion, and Controlled Drug Delivery in Trauma and Surgical Care

Advanced Healthcare Materials, EarlyView.
Fast‐acting hydrogel seals bleeding wounds as the illustrated injectable, pH‐responsive network rapidly gels in situ to stop hemorrhage, adhere strongly to wet tissue, and release antibiotics in a controlled, pH‐dependent manner. The material withstands high pressures, shows excellent biocompatibility, and degrades safely, offering a versatile platform
Arvind K. Singh Chandel, Runali Patil, Abrar Ali Khan, Deeksha Pandit, Kaushik Chatterjee, Maurice N. Collins   +5 more
wiley   +1 more source

Equipment Reliability Process with Predictive Maintenance (PdM) Technology: Advanced TPS based upon Highly Reliable Lean Maintenance at Toyota Manufacturing USA

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Equipment reliability plays a critical role in global production because the equipment specifications of production lines in the world vary depending on the circumstances of each country. When Toyota Motor Corporation operates overseas plants, equipment reliability management is one of the most important hurdles the global production must overcome.
Pengjiu Li, Hirohisa Sakai
openaire   +1 more source

Nb2C‐Reinforced Hydrogel Microneedle as Dual ROS‐Scavenging Platform to Promote Diabetic Wound Healing

Advanced Healthcare Materials, EarlyView.
An advanced microneedle patch integrating niobium carbide nanosheets and curcumin is engineered for diabetic wound healing. The system enables dual ROS scavenging and NIR‐enhanced antimicrobial activity, effectively rebalancing the oxidative microenvironment, promoting macrophage repolarization and angiogenesis, and accelerating full‐thickness wound ...
Zhi Zheng, Heyan Huang, Xiangru Chen, Jie Fu, Zhiwei Sun, Mengjuan Tao, Jianwei Mao, Fei Zhang, Zhou Wan, Yuan Li, Dingan Wu, Chuchao Zhou, Yanqing Yang   +12 more
wiley   +1 more source

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

A Detailed Study on Algorithms for Predictive Maintenance in Smart Manufacturing: Chip Form Classification Using Edge Machine Learning

IEEE Open Journal of the Industrial Electronics Society
Industrial and technological evolution has led to the identification of different techniques and strategies that can best adapt to the needs of Manufacturing Industry 4.0.
Alessia Lazzaro, Doriana Marilena D'Addona, Massimo Merenda   +2 more
doaj   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

MANTENIMIENTO PREDICTIVO BASADO EN MACHINE LEARNING: UNA REVISIÓN SISTEMÁTICA DE LA LITERATURA Y PERSPECTIVAS EN LA INDUSTRIA 4.0

Avances en Ciencias e Ingeniería
Within the framework of Industry 4.0, predictive maintenance (PdM) emerges as an essential component to maximize asset availability and ensure operational excellence.
Sofia Tapia, Gustavo Aguilera, Luis Rojas, José García   +3 more
doaj   +1 more source