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Publications by Zhi-Xin Yang
Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach
Energies
Control
Electronic Engineering
Energy Engineering
Renewable Energy
Energy
Fuel Technology
Sustainability
Optimization
Electrical
Power Technology
the Environment
Direct Power Control in Pulse-Width Modulation Rectifier Based on Virtual Flux Estimation
Advances in Mechanical Engineering
Mechanical Engineering
Related publications
Fault Diagnosis of a Wind Turbine Rotor Using a Multi-Blade Coordinate Framework*
IFAC Proceedings Volumes
Binary/Ternary Extreme Learning Machines
Neurocomputing
Computer Science Applications
Artificial Intelligence
Cognitive Neuroscience
Enhanced Extreme Learning Machines for Image Classification
Rule - Based Fault Diagnosis Expert System for Wind Turbine
ITM Web of Conferences
Multi-Label Classification for Fault Diagnosis of Rotating Electrical Machines
Fault Diagnosis of Wind Turbine Bearing Using Wireless Sensor Networks
Thermal Science
Renewable Energy
the Environment
Sustainability
Bearing Fault Diagnosis Based on Intrinsic Time-Scale Decomposition and Extreme Learning Machine
Vibroengineering Procedia
Control
Systems Engineering
Electronic Engineering
Mechanical Engineering
Materials Science
Ocean Engineering
Electrical
Fault Diagnosis Studies of Face Milling Cutter Using Machine Learning Approach
Journal of Low Frequency Noise Vibration and Active Control
Building
Mechanics of Materials
Ultrasonics
Mechanical Engineering
Civil
Acoustics
Structural Engineering
Construction
Geophysics
Implementation of IOT for Real Time Monitoring and Fault Diagnosis of Wind Turbine
International Journal of Recent Trends in Engineering and Research