Results 71 to 80 of about 3,118,267 (236)
Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella +5 more
wiley +1 more source
Jixie qiangdu, 2019 Aiming at the fact that the fault diagnosis performance of relevance vector machine（RVM） in motor bearing highly depends on the parameters selection, a motor bearing fault diagnosis method based on RVM optimized by fruit fly optimization algorithm with ...
WANG HanZhang
doaj
Application research of lifting wavelet transform in fault diagnosis of coal mine bearing
Gong-kuang zidonghua, 2016 In view of fault diagnosis problem of antifriction bearing in mine critical equipment, the paper proposed to apply lifting wavelet transform to fault diagnosis of coal mine bearing, introduced principle of lifting wavelet transform, and designed adaptive
WU Jian, HUANG Xia
doaj +1 more source
An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
, 2023 It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor ...
Guangjie Han, Aohan Li, Xianzhang Zhou
core +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Journal of Measurement Science and InstrumentationIn order to improve the accuracy of rolling bearing fault diagnosis when the motor is running under non-stationary conditions, an AC motor rolling bearing fault diagnosis method was proposed based on heterogeneous data fusion of current and infrared ...
LIU Peijin +4 more
doaj
Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems
, 2020 Bearing elements are vital in induction motors; therefore, early fault detection of rolling-element bearings is essential in machine health monitoring.
Jong-Myon Kim +2 more
core +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Arthritis Care &Research, EarlyView.Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Application of Phase Space Warping on Damage Tracking for Bearing Fault [PDF]
, 2012 Nowadays, the significance of keeping equipment function properly each time is obvious. If equipment fails during its use, it may have disastrous consequences.
Gu, Fengshou +3 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source