Smart Wind Turbine: Artificial Intelligence based Condition Monitoring System

Afshin Tafazzoli, Alvaro Mayo

2019

Abstract

This project is motivated by the importance of wind energy and reducing the financial and operational impact of faults in wind turbine generator using artificial intelligence based condition monitoring system. It is to classify the fault alarms and diagnose smart solutions at level zero to resolve the faults without service expert’s intervention. Big data analysis of the large historical data pool results in the intelligent algorithms that can power the diagnostic models. For maximum efficiency, wind turbines tend to be located in remote locations such as on offshore platforms. However, this remoteness leads to high maintenance costs and high downtime when faults occur. These factors highlight the importance of early fault detection and fast resolution in great extent. The aim of the project has been to have smart wind turbines integrated with artificial intelligence. The condition monitoring system should have the capability to detect, identify, and locate a fault in a wind turbine and remotely reset the turbines whenever possible.

Paper Citation

in Harvard Style

Tafazzoli A. and Mayo A. (2019). Smart Wind Turbine: Artificial Intelligence based Condition Monitoring System.In Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-373-5, pages 194-198. DOI: 10.5220/0007767701940198

in Bibtex Style

@conference{smartgreens19,
author={Afshin Tafazzoli and Alvaro Mayo},
title={Smart Wind Turbine: Artificial Intelligence based Condition Monitoring System},
booktitle={Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2019},
pages={194-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007767701940198},
isbn={978-989-758-373-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - Smart Wind Turbine: Artificial Intelligence based Condition Monitoring System
SN - 978-989-758-373-5
AU - Tafazzoli A.
AU - Mayo A.
PY - 2019
SP - 194
EP - 198
DO - 10.5220/0007767701940198