Fault Diagnosis and Fault-Tolerant Control of Permanent Magnet Synchronous Motor Position Sensors Based on the Cubature Kalman Filter. [PDF]
Chen J +5 more
europepmc +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
Research on Fault Diagnosis of Mechanical Bearings Based on Transfer Learning. [PDF]
Gao X +5 more
europepmc +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Intelligent Fault Diagnosis System for Running Gear of High-Speed Trains. [PDF]
Yang S +5 more
europepmc +1 more source
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings. [PDF]
Dong W, Feng B, Liu Y, Zhang S.
europepmc +1 more source
Advancing real-time validation of automotive software systems via continuous integration and intelligent failure analysis. [PDF]
Abboush M, Knieke C, Rausch A.
europepmc +1 more source
Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]
Tang M +6 more
europepmc +1 more source

