Yu (Eve) Zhang

Senior Lecturer in Digital Engineering

Loughborough University

United Kingdom

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Dr. Yu (Eve) Zhang is a Senior Lecturer in Digital Engineering at Loughborough University, UK. Her research areas focus on advanced fault diagnosis techniques, particularly in rolling bearings and industrial diagnostics, leveraging machine learning and graph convolutional networks. Recent publications include studies on dynamic modeling for synchronous motor systems and vibration analysis within propulsion shaft systems.

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Collaborators (3)

Dr. Edmond Nurellari

Senior Lecturer in Electrical Engineering/Robotics

University of Lincoln

UNITED KINGDOM

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Dan O'Boy

Senior Lecturer in Structural Dynamics

Loughborough University

UNITED KINGDOM

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Gbanaibolou Jombo

University of Hertfordshire

UNITED KINGDOM

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Yu (Eve) Zhang

Research Interests

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Articles (19)

Multi-scale Gaussian feature enhancement and prototype graph convolutional network for domain-generalized rolling bearing fault diagnosis

Adaptive threshold in Leaky-Integrated-and-Fire function for audio-based industrial diagnosis

A dynamic model for the frictional power loss analysis of a synchronous motor rotor-bearing system

DPMSLM Demagnetization Fault Diagnosis Based on Deep Feature Fusion of External Stray Flux Signal

Fault Diagnosis in Rolling Bearings Using Multi-Gaussian Attention and Covariance Loss for Single Domain Generalization

Vibration analysis of the propulsion shaft system considering dynamic misalignment in the outer ring

Dynamic Forces and Vibrations of the Planetary Gear-Set Radial Bearings with the Roller Dimension Deviation

Self-Adaptive Evolutionary Info Variational Autoencoder

Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings

A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

A Collision-Free-Transmission-Based Source Location Privacy Protection Scheme in UASNs Under Time Slot Allocation

Acoustic-Based Machine Condition Monitoring—Methods and Challenges

Cooperative Partial Task Offloading and Resource Allocation for IIoT Based on Decentralized Multi-Agent Deep Reinforcement Learning

Mitigating Threshold Effects in Human Control by Stochastic Resonance With Fractional Colored Noise

Knowledge Sharing Enabled Multirobot Collaboration for Preventive Maintenance in Mixed Model Assembly

Damage detection of grotto murals based on lightweight neural network

On Enabling Mobile Crowd Sensing for Data Collection in Smart Agriculture: A Vision

A Push-Based Probabilistic Method for Source Location Privacy Protection in Underwater Acoustic Sensor Networks

A Multisensor Information Fusion Method for High-Reliability Fault Diagnosis of Rotating Machinery

Collaborators (3)

Dr. Edmond Nurellari

Dan O'Boy

Gbanaibolou Jombo

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