DIAGNOSING AND PREDICTING WIND TURBINE FAULTS USING ARTIFICIAL INTELLIGENCE OF THINGS

  • CULEA GEORGE
    Vasile Alecsandri” University of Bacau, Romania
  • POPESCU CORNEL
    Computer Science Department, POLITEHNICA University of Bucharest, Romania
  • ANDRIOAIA DRAGOS ALEXANDRU
    Vasile Alecsandri” University of Bacau, Romania

Abstract

This paper aims to design a based on artificial Intelligence of things (AIOT) system for monitoring wind turbines and predicting major faults. To achieve this system, have been identified the main parameters that must be followed. Considering these elements was proposed an intelligent solution based on cloud computing. The proposed AIOT system allows detection of wind turbine faults, including their prediction.

Cuvinte cheie

wind turbine internet of things machine learning artificial intelligence monitoring