Multi-Branch Residual Multiscale CNN Based Power Transformer Fault Diagnosis on Vibration Signal
Status of the transformer is highly associated with safe and stable operation of the whole power system. Since the vibration signal is generated along with operation of the transformer and can indicate change of equipment operation status in real-time ...
Binwen Zhang +5 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Study on Transformer Fault Diagnosis Based on Dynamic Fault Tree [PDF]
In this paper, according to theoretical diagnosis of fault tree, the author builds a diagnosis model based on dynamic fault tree and illustrates the model’s construction method and diagnosis logic in detail. According to case analysis, compared with conventional fault tree diagnosis, the above-mentioned method is advanced in fault-tolerant ability ...
openaire +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
AUV Fault Diagnosis Based on Multidimensional Temporal Classification Transformer
Autonomous underwater vehicles (AUVs) play a critical role in marine resource exploration, maritime patrol, and rescue operations, requiring reliable fault diagnosis for robust operation.
Chen Weifeng +3 more
doaj +1 more source
Application of transform in fault diagnosis of power electronics circuits
AbstractA method based on S transforms and support vector machines was presented for fault diagnosis of power electronics circuits in which the S transform time-frequency analysis of the fault signal is used to extract the features corresponding to various faults. Then, fault types are identified through the pattern recognition classifier, based on SVM.
Rongjie Wang, Yiju Zhan, Haifeng Zhou
openaire +1 more source
Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park +5 more
wiley +1 more source
Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer
Being one of the most expensive components of an electrical power plant, the failures of a power transformer can result in serious power system issues. So fault diagnosis for power transformer is highly important to ensure an uninterrupted power supply. Due to information transmission mistakes as well as arisen errors while processing data in surveying
Sanjay Kumar Tyagi +2 more
openaire +2 more sources
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
With the continuous advancement of power system intelligence, the need for efficient fault diagnosis of equipment in power metering smart laboratories has become increasingly pressing.
Ying Zhang +3 more
doaj +1 more source

