Results 41 to 50 of about 2,636 (193)
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 +4 more
doaj +1 more source
Enhancing Decisions in Prognostics and Health Management Framework
International Journal of Prognostics and Health Management, 2020 Prognostics and health management have become increasingly important in recent years. Many research studies focus on a crucial phase consisting of predicting the remaining useful life of equipment or a component.
Omar Bougacha, Christophe Varnier
doaj +1 more source
European Journal of Social Psychology, EarlyView.ABSTRACT On the basis of two social‐affective frameworks, we posited that national football team performance (winning vs. losing) would impact spectators’ identities, affect and sociopolitical attitudes—including their intergroup attitudes (i.e., in‐group favouritism and multiculturalism) and societal perceptions (i.e., national optimism, perceived ...
Yannik A. Escher +13 more
wiley +1 more source
Prognostics and health management (PHM) for astronauts: a collaboration project on the International Space Station [PDF]
SPIE Proceedings, 2016 Long-duration missions bring numerous risks that must be understood and mitigated in order to keep astronauts healthy, rather than treat a diagnosed health disorder. Having a limited medical support from mission control center on space exploration missions, crew members need a personal health-tracking tool to predict and assess his/her health risks if ...
Popov, Alexandre +2 more
openaire +2 more sources
Borophene‐based sensing platforms: Pioneering ultrasensitive detection
FlexMat, EarlyView.Schematic Diagram of Performance Optimization Strategies and Sensing Application Characteristics of Two‐Dimensional Boron‐Based Materials in Novel Sensors. Abstract Borophene is an emerging two‐dimensional (2D) material. Since significant breakthroughs were achieved in the experimental synthesis of borophene, the exploration and development of ...
Chi Yuan, Yanpeng Ji, Yi Liu, Guoan Tai
wiley +1 more source
Weibull Variational Autoencoder for Remaining Useful Life Prediction
Quality and Reliability Engineering International, EarlyView.ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu +4 more
wiley +1 more source
Using a high fidelity CCGT simulator for building prognostic systems [PDF]
, 2013 Pressure to reduce maintenance costs in power utilities has resulted in growing interest in prognostic monitoring systems. Accurate prediction of the occurrence of faults and failures would result not only in improved system maintenance schedules but ...
McGhee, Mark James +3 more
core +3 more sources
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 +3 more
doaj +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Computer Graphics Forum, EarlyView.Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems
International Journal of Prognostics and Health Management, 2016 The Adaptive Multi-scale Prognostics and Health Management (AM-PHM) is a methodology designed to enable PHM in smart manufacturing systems. In application, PHM information is not yet fully utilized in higher-level decisionmaking in manufacturing systems.
Benjamin Y. Choo +4 more
doaj +1 more source