Results 71 to 80 of about 18,782 (296)
Prognostic Reasoner based adaptive power management system for a more electric aircraft [PDF]
, 2016 This research work presents a novel approach that addresses the concept of an adaptive power management system design and development framed in the Prognostics and Health Monitoring(PHM) perspective of an Electrical power Generation and distribution ...
Alghassi, Alireza +3 more
core
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
Major challenges in prognostics: study on benchmarking prognostic datasets [PDF]
, 2012 Even though prognostics has been defined to be one of the most difficult tasks in Condition Based Maintenance (CBM), many studies have reported promising results in recent years.
Camci, Faith +2 more
core
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
A Distributed Approach to System-Level Prognostics [PDF]
, 2012 Prognostics, which deals with predicting remaining useful life of components, subsystems, and systems, is a key technology for systems health management that leads to improved safety and reliability with reduced costs.
Bregon, Anibal +2 more
core +1 more source
Prognostics and Health Management of Industrial Equipment
, 2012 ISBN13: 9781466620957Prognostics and health management (PHM) is a field of research and application which aims at making use of past, present and future information on the environmental, operational and usage conditions of an equipment in order to detect
Zio, Enrico
core +4 more sources
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection [PDF]
, 2019 It is important to identify the change point of a system's health status, which usually signifies an incipient fault under development. The One-Class Support Vector Machine (OC-SVM) is a popular machine learning model for anomaly detection and hence ...
Chen, Yuxin +4 more
core +2 more sources
Study on Fault Prognostics and Health Management for UAV
, 2022 With the improvement of automation and intelligence degree of unmanned aerial vehicle, its application scenarios and service scope continue to expand. The UAV system is complex and the task environment is changeable, which poses new challenges to its safety and reliability.
Jihui Pan +4 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +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