An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization

<p dir="ltr">The current paper proposes intelligent Fault Detection and Diagnosis (FDD) approaches, aimed to ensure the high-performance operation of Wind energy conversion (WEC) systems. First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is pr...

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Bibliographic Details
Main Author: Majdi Mansouri (16869885) (author)
Other Authors: Khaled Dhibi (16891524) (author), Hazem Nounou (16869900) (author), Mohamed Nounou (3489386) (author)
Published: 2022
Subjects:
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Information and computing sciences
Artificial intelligence
Machine learning
wind energy conversion (WEC)
fault diagnosis
particle swarm optimization (PSO)
neural network (NN)
euclidean distance (ED)
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