WIND TURBINE PITCH SYSTEM FAULT DETECTION USING SSODM-DSTA

Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

A fault detection method of wind turbine pitch system using semi-supervised optimal margin distribution machine (ssODM) optimized by dynamic state transition algorithm (DSTA) [ssODM-DSTA] was proposed to solve the problem of obtaining the optimal hyperparameters of the fault detection model for the pitch system.This method was adopted to input the

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Prevalence and Associated Factors of Intestinal Helminths Among Kindergarten Children in Gondar Town, Northwest Ethiopia

Abiy Ayele,1 Yalewayker Tegegne,2 Adane Derso,2 Tegegne Eshetu,2 Ayalew Jejaw Zeleke2 1Department of Immunology and Molecular Biology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia; 2Department of Medical Parasitology, School of Biomedical and Laboratory Sciences, Colle

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