Easy Transfer Learning-Based Model-Data-Hybrid-Driven Fault Detection for Battery Inverters.

High-Frequency Impedance Modeling of Induction Motors Using Adaptive Multistage RLC Circuit and Neural Network-Based Stagewise Parameter Identification.

Learning to Imbalanced Open Set Generalize: A Meta-Learning Framework for Enhanced Mechanical Diagnosis.

High-Frequency Impedance Modeling of Nanocrystalline Common-Mode Chokes Using Mixed-Mode Theory and Improved Multistage RLC Iteration Circuit.

Multi-Agent Soft Actor-Critic Aided Active Disturbance Rejection Control of DC Solid-State Transformer.

An Energy-Efficient Mechanical Fault Diagnosis Method Based on Neural-Dynamics-Inspired Metric SpikingFormer for Insufficient Samples in Industrial Internet of Things.

A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city.

Addressing unknown faults diagnosis of transport ship propellers system based on adaptive evolutionary reconstruction metric network.

EMAE-Based Rail Structural Health Monitoring Using Double-Layer Signal Processing and Spectrum Information Entropy.

High-Precision Broadband Impedance Measurements of Three-Phase Common-Mode Chokes Using Single-Port Circuit De-Embedding and Three-Port Network Calibration Methods.

Current Collector Health Monitoring of LRT Trains Powered by Three-Phase AC Power Rail Based on Inductive Coupling Method.

Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology.

Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise.

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain.

VNA-Based Fixture Adapters for Wideband Accurate Impedance Extraction of Single-Phase EMI Filtering Chokes.

Impact of Motor Stator Winding Faults on Common-Mode Current.