Results 131 to 140 of about 3,279,297 (229)
Adaptive Label Refinement Network for Domain Generalization in Compound Fault Diagnosis. [PDF]
Du Q, Yao J, Yang J, Tu F, Yang S.
europepmc +1 more source
Multilayer Fused Correntropy Reprsenstation for Fault Diagnosis of Mechanical Equipment
Fault diagnosis is vital for improving the reliability and safety of mechanical equipment. Existing fault diagnosis methods require a large number of samples for model training.
Jun Wu +4 more
core +1 more source
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
Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network. [PDF]
Hao R, Bai Y, Yang K, Cheng Y, Chang S.
europepmc +1 more source
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Semi-Supervised Informer for the Compound Fault Diagnosis of Industrial Robots. [PDF]
Deng C, Song J, Chen C, Wang T, Cheng L.
europepmc +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
ResGRU: A Novel Hybrid Deep Learning Model for Compound Fault Diagnosis in Photovoltaic Arrays Considering Dust Impact. [PDF]
Liu X +7 more
europepmc +1 more source
The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery. [PDF]
Wang X, Si S, Wei Y, Li Y.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

