Results 81 to 90 of about 2,636 (193)

Hypertension Control Rates Before and After Implementation of a Multicomponent Quality Improvement Program in Medicare Beneficiaries Primarily of Hispanic Origin in a Large Health System in South Florida, 2011–2018

The Journal of Clinical Hypertension, Volume 28, Issue 8, August 2026.
ABSTRACT Health care systems have a key role in improving hypertension control in large populations, a global challenge, through the implementation of modern multicomponent programs. The impact of such programs in at‐risk minority populations, nonetheless, remains to be better characterized.
Paulo H. M. Chaves, Maureen DeSoria, Leslye Roque, Rafael J. Mas   +3 more
wiley   +1 more source

A Comprehensive Review on Hydrogel‐Based TENGs: Materials, Mechanisms, and Future Prospects for Wearable and Energy‐Harvesting Applications

Advanced Energy and Sustainability Research, Volume 7, Issue 7, July 2026.
Hydrogel‐based triboelectric nanogenerators (H‐TENGs) influence ionic conductivity, self‐healing capability, and skin‐like biocompatibility to harvest biomechanical energy for battery‐free wearable sensing. This review examines material classifications, charge transfer mechanisms, and fabrication strategies across natural, synthetic, and nanocomposite ...
Md. Redwanul Islam, Md. Farhad Hossain, Udoy Chand Pandit, Md Mustafizur Rahman, Md. Tusar Akon, Kaniz Farhana   +5 more
wiley   +1 more source

A distributed architecture to implement a prognostic function for complex systems [PDF]

, 2012
The proactivity in maintenance management is improved by the implementation of CBM (Condition-Based Maintenance) principles and of PHM (Prognostic and Health Management). These implementations use data about the health status of the systems.
Archimède, Bernard, Diévart, Mickaël, Desforges, Xavier, Charbonnaud, Philippe   +3 more
core  

Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction

Battery Energy, Volume 5, Issue 4, July 2026.
By embedding battery degradation physics into data‐driven learning, physics‐informed artificial intelligence enforces physical consistency, degradation awareness, and uncertainty modeling, enabling robust lifetime prediction, digital‐twin representation, and decision‐reliable battery management beyond purely empirical approaches.
Mohamad Fani Sulaima, Sunny Arora, Robert Frischer, Hamidreza Namazi   +3 more
wiley   +1 more source

Aircraft hydraulic power system diagnostic, prognostics and health management [PDF]

, 2012
This Individual Research Project (IRP) is the extension research to the group design project (GDP) work which the author has participated in his Msc programme.
Wang, Jian
core   +4 more sources

Enhanced Prognostics and Health Management in Automated Driving Systems : Using Graph Neural Networks to Recognize Operational Contexts

Prognostics and health management (PHM) is an engineering discipline that aims to maintain system behaviour and function and ensure mission success, safety and effectiveness.
Wang, Yeqi,, Mishra, Madhav,, Chen, Dejiu,, Su, Peng,, Xiang, Conglei,, Wendel, Erik,   +5 more
core   +2 more sources

TOWARDS DEVELOPING A NOVEL FRAMEWORK FOR PRACTICAL PHM: A SEQUENTIAL DECISION PROBLEM SOLVED BY REINFORCEMENT LEARNING AND ARTIFICIAL NEURAL NETWORKS

International Journal of Prognostics and Health Management, 2019
The heart of prognostics and health management (PHM) is to predict the equipment degradation evolution and, thus, its Remaining Useful Life (RUL). These predictions drive the decisions on the equipment Operation and Maintenance (O&M), and these in turn ...
Luca Bellani, Michele Compare, Piero Baraldi, Enrico Zio   +3 more
doaj   +1 more source

Performance Data Prognostics Based on Relevance Vector Machine and Particle Filter

Chemical Engineering Transactions, 2013
Prognostics of equipment state is one of the most important and difficult issue in Prognostics and Health Management (PHM) technology. In this paper, Relevance Vector Machine (RVM) and Particle Filter (PF) are used to analyse equipment state and predict ...
Y. Hu, P. Luo
doaj   +1 more source

Cybersecurity in Prognostics and Health Management

PHM continues to show its value by improving operational efficiencies, increasing safety, reducing downtime, and decreasing cost of operations. PHM technologies are therefore not only being deployed as retrofit solutions but are being integrated into new
Goebel, Kai,, Goebel, Kai
core   +1 more source

Digital twin-driven prognostics and health management for industrial assets

Scientific Reports
As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in prognostics and health management (PHM). Faults can lead to degradation or malfunction of industrial assets.
Bin Xiao, Jingshu Zhong, Xiangyu Bao, Liang Chen, Jinsong Bao, Yu Zheng   +5 more
doaj   +1 more source