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DIAGNOSING AND PREDICTING WIND TURBINE FAULTS USING ARTIFICIAL INTELLIGENCE OF THINGS


CULEA GEORGE 1*, POPESCU CORNEL 2, ANDRIOAIA DRAGOS ALEXANDRU 1
1. “Vasile Alecsandri” University of Bacau, Romania
2. Computer Science Department, POLITEHNICA University of Bucharest, Romania
* gculea@ub.ro

Issue:

PLUMEE, Number 1, Volume IX

Section:

Issue No.1 - Volume 9 (2019)

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.

Keywords:

wind turbine, internet of things, machine learning, artificial intelligence, monitoring.

Code [ID]:

PLUMEE201901V09S01A0005 [0004973]

Note:

Full paper:

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