Results 41 to 50 of about 1,966 (214)

A Novel Prognostics and Health Management Framework to Extract System Health Requirements in the Oil and Gas Industry

International Journal of Prognostics and Health Management
The paramountcy of Prognostics and Health Management (PHM) within the oil and gas sector is instrumental in ensuring safety, reliability, and economic efficiency by optimizing system availability.
Khalid Alfahdi, Hakan Gultekin, Emad Summad   +2 more
doaj   +1 more source

Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing

International Journal of Prognostics and Health Management, 2016
The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintenance ...
Xiaoning Jin, Brian A. Weiss, David Siegel, Jay Lee   +3 more
doaj   +1 more source

IoT-Based Prognostics and Systems Health Management for Industrial Applications

IEEE Access, 2016
Prognostics and systems health management (PHM) is an enabling discipline that uses sensors to assess the health of systems, diagnoses anomalous behavior, and predicts the remaining useful performance over the life of the asset.
Daeil Kwon, Melinda R. Hodkiewicz, Jiajie Fan, Tadahiro Shibutani, Michael G. Pecht   +4 more
doaj   +1 more source

Processing‐Centric Innovative Strategies for Protonic Ceramic Electrochemical Cells

Advanced Energy Materials, EarlyView.
This review reveals how processing‐centric fabrication strategies govern architecture, microstructure, and interfaces in protonic ceramic electrochemical cells (PCECs), establishing a framework that translates materials innovation into scalable PCEC technologies.
Dongyeon Kim, Seeun Oh, Hyeonggeun Kim, Hyeongmin Yu, Chuancheng Duan, Kang Taek Lee   +5 more
wiley   +1 more source

Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit [PDF]

Baptista, M. L., Mishra, M., Henriques, E., & Prendinger, H. (2024). Using Explainable Artificial Intelligence to Interpret Remaining Useful Life Estimation with Gated Recurrent Unit. In C. S. Kulkarni, & M. E.
Mishra, Madhav,, Prendinger, Helmut, Prendinger, Helmut,, Henriques, Elsa, Baptista, Marcia L.,, Henriques, Elsa,, Baptista, Márcia L., Mishra, Madhav   +7 more
core   +1 more source

Aircraft fuel system prognostics and health management [PDF]

, 2012
This thesis contains the specific description of Group Design Project (GDP) and Individual Research Project (IRP) that are undertaken by the author and form part of the degree of Master of Science.
Wang, Xiaoyang
core  

Tissue Damage in Rheumatoid Arthritis Is Genetically Linked to Low Peptidylglycine Alpha‐Amidating Monooxygenase Activity in Synovial Fibroblasts

Arthritis &Rheumatology, EarlyView.
Objective Both susceptibility to, and severity of, rheumatoid arthritis (RA) is associated with the rs26232 C allele. Our primary aim was to identify the biologic mechanism underlying this association. Methods Expression of surrounding genes was compared among rs26232 genotypes.
Kevin J. Sheridan, Emma R. Dorris, Maria Inês Pimenta, Jemma Falkov, Matthew Fisher, Sam Pledger, Hector Devey, Munitta Muthana, Denis C. Shields, Richard E. Mains, Betty A. Eipper, Christopher D. Buckley, Anthony G. Wilson   +12 more
wiley   +1 more source

PHM SURVEY: Implementation of Prognostic Methods for Monitoring Industrial Systems

Energies, 2022
Prognostics and Health Management (commonly called PHM) is a field that focuses on the degradation mechanisms of systems in order to estimate their health status, anticipate their failure and optimize their maintenance.
Abdenour Soualhi, Mourad Lamraoui, Bilal Elyousfi, Hubert Razik   +3 more
doaj   +1 more source

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

Energy 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, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Unsupervised Physics-Informed Health Indicator Discovery for Complex Systems

, 2023
Discovering health indicators (HI) is essential for prognostics and health management of complex systems, as an HI enables timely interventions and effective maintenance strategies.
Arias Chao, M.A.C. (author), Bajarunas, Kristupas (author), Goebel, Kai (author), Lourenço Baptista, M. (author)   +3 more
core   +1 more source