Results 71 to 80 of about 35,639,582 (304)
Model Based Approach for Identification of Gears and Bearings Failure Modes [PDF]
International Journal of Prognostics and Health Management, 2011 This paper describes the algorithms that were used for analysis of the PHM’09 gear-box. The purpose of the analysis was to detect and identify faults in various components of the gear-box. Each of the 560 vibration recordings presented a different set of
Renata Klein +3 more
doaj
Ensemble CorrDet with adaptive statistics for bad data detection
IET Smart Grid, 2020 Smart grid (SG) systems are designed to leverage digital automation technologies for monitoring, control and analysis. As SG technology is implemented in increasing number of power systems, SG data becomes increasingly vulnerable to cyber-attacks ...
Keerthiraj Nagaraj +9 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source
Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications
Engineering ReportsEffective monitoring of drilling tool condition is crucial in mechanical metal cutting to prevent tool failure, maintain machining accuracy, and ensure superior surface finish quality. Tool breakage or wear can cause catastrophic machine downtime, reduce
Chandan M. N +5 more
doaj +1 more source
A Systematic Methodology for Gearbox Health Assessment and Fault Classification [PDF]
International Journal of Prognostics and Health Management, 2011 A systematic methodology for gearbox health assessment and fault classification is developed and evaluated for 560 data sets of gearbox vibration data provided by the Prognostics and Health Management Society for the 2009 data challenge competition.
Jay Lee, David Siegel, Hassan Al-Atat
doaj
Data-driven methods for tracking improvement
, 2009 The tracking precision required by modern industrial applications is continuously increasing. Feedback control alone is often no longer capable of giving the necessary tracking accuracy and so the use of two-degree-of-freedom controllers, which include a feedforward term, has become commonplace.
openaire +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Hyperlipidemia is a major risk factor for atherosclerotic cardiovascular disease (ASCVD). Although statins are the cornerstone of lipid‐lowering therapy, their use may be limited in some patients by adverse effects. This study evaluated the possible impact of non‐drug treatment using double‐filtration plasmapheresis (DFPP) on CD14+
Yun Cheng +3 more
wiley +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Multi-level data-driven approaches for voxel-wise quantification of dynamic PET images: application to [11C] WAY100635 data [PDF]
, 2022 Questo lavoro di tesi presenta dei metodi data-driven per la quantificazione a livello di voxel di immagine dinamiche PET. Nello specifico si realizzano tre metodi in grado di compiere un analisi lineare sui dati sotto esame, cercando di rendere piu ...
Ceccato, Veronica
core
, 2021 The purpose of this study was to develop a new evaluation method for stimulus-driven attention without using special equipment and to clarify the relationship between the score and clinical findings.
Motomura, K (via Mendeley Data) +1 more
core +1 more source