Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems

<p dir="ltr">Ensuring the validity of measurements in wind energy systems (WES) is a challenging task in system diagnosis and data validation. This work, therefore, elaborates on the development of new approaches aimed at improving the operation of WES by developing intelligent and i...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Khaled Dhibi (16891524) (author)
مؤلفون آخرون:	Majdi Mansouri (16869885) (author), Mohamed Trabelsi (16869891) (author), Kamaleldin Abodayeh (16904865) (author), Kais Bouzrara (16869906) (author), Hazem Nounou (16869900) (author), Mohamed Nounou (3489386) (author)
منشور في:	2023
الموضوعات:	Engineering Electrical engineering Electronics, sensors and digital hardware Materials engineering Feature extraction Artificial neural networks Classification algorithms Uncertainty Particle swarm optimization Fault diagnosis Wind power generation Neural networks
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems

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