
Smart Wireless sensors for Impairment detection of the offshore Wind Turbines
Author(s) -
G. Ranganathan,
S. Smys
Publication year - 2020
Publication title -
journal of electrical engineering and automation
Language(s) - English
Resource type - Journals
ISSN - 2582-3051
DOI - 10.36548/jeea.2020.1.001
Subject(s) - shore , wind power , turbine , marine engineering , offshore wind power , software , condition monitoring , computer science , environmental science , automotive engineering , engineering , real time computing , electrical engineering , geology , aerospace engineering , oceanography , programming language
The maintenance of Wind farms located in the off shores are highly challenging as the preservation and the operational availability are tedious. The insufficiency in the traditional system for monitoring the conditions of the wind turbines located in the off shores has made this topic an attractive area of research. The proposed method in the paper utilizes the multiple intelligent smart sensors to detect the impairments in the structure of the wind turbines. The sensors utilized in the proposed method estimates the damage index in the wind turbine by engaging the embedded software. The effectiveness of the proposed method was measured by applying it to the off shore wind turbines. The results obtained evinces the minimized cost and the down time in maintaining the off shore wind farms.