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Fast individual harmonic extraction: An efficient tool for wind turbine condition monitoring

Wenxian Yang, Chong H. Ng, Jiesheng Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Increasing deployment of wind turbines requires an efficient condition monitoring system for ensuring the safety and reliability of these machines. The recent concern of power quality produced by wind turbines also calls for a valid approach to guaranteeing wind turbine power may well meet the requirements by national grid code. A number of commercial condition monitoring systems have been available today. However, they are complex in hardware and expensive in price, still unsuitable for use in large scale. Moreover, to date none of them takes into account the monitoring of power quality. In view of this, a new condition monitoring technique based on individual harmonic extraction method is researched in this paper by analyzing wind turbine electrical signals, which can be readily measured from wind turbine generator. Experiments show that the proposed method is not only sensitive to wind turbine faults, but also alert to the degradation of power quality output from wind turbine system.

Original languageEnglish
Title of host publication2011 International Conference on Electrical Machines and Systems, ICEMS 2011
PublisherIEEE
Number of pages5
ISBN (Electronic)9781457710438, 9781457710421
ISBN (Print)9781457710445
DOIs
Publication statusPublished - 14 Nov 2011
Externally publishedYes
Event2011 International Conference on Electrical Machines and Systems - Beijing, China
Duration: 20 Aug 201123 Aug 2011

Conference

Conference2011 International Conference on Electrical Machines and Systems
Abbreviated titleICEMS 2011
Country/TerritoryChina
CityBeijing
Period20/08/1123/08/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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