Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems

<p>In this paper, special attention is paid to the detection and diagnosis of various incipient faults of uncertain wind energy conversion (WEC) systems. The proposals will enhance the monitoring and diagnosis of the WEC system while taking into account the system uncertainties. The developed...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Majdi Mansouri (16869885) (author)
مؤلفون آخرون: Khaled Dhibi (16891524) (author), Hazem Nounou (16869900) (author), Mohamed Nounou (3489386) (author)
منشور في: 2022
الموضوعات:
Engineering
Electrical engineering
Environmental engineering
Support vector machines
Feature extraction
Optimization
Uncertainty
Classification algorithms
Hidden Markov models
Training data
fault diagnosis
fault classification
artificial butterfly optimization (ABO)
wind energy conversion (WEC)
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