Loading...
Please wait, while we are loading the content...
Um método para Identificação de falhas em componentes e subcomponentes de turbinas eólicas através de monitoramento de Condição baseado em vibração
| Content Provider | Semantic Scholar |
|---|---|
| Author | Azevedo, Henrique Dias Machado De |
| Copyright Year | 2015 |
| Abstract | Since the decade of 1980s, wind energy technology has undergone tremendous growth over both turbine size and worldwide installed capacity. As the demand for wind turbines of large-scale and lower cost of operation and maintenance continues to grow, interest in condition monitoring system (CMS) has increased rapidly. The main components (MC) of the wind turbines are the focus of almost all CMS since they cause a high repair cost and downtime. However, a large portion of the MC faults are caused by secondary damages due to a subcomponent failure. The objective of this work is to present and propose a method of analysis to identify defects in major components or subcomponents of a wind turbine. The proposed analysis method is based on time wave analysis, fast Fourier transforms analysis and envelope analysis through Hilbert transforms. The application of the method in a wind turbine installed in a real wind farm, identified a bearing defect successfully, which was replaced confirming the failure. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://repositorio.ufpe.br/bitstream/123456789/16522/1/Henrique%20Azevedo%20-%20Tese%20de%20Mestrado%20-%20Finalizada_Rev13_Hen_Alex_Nad_Rob_ABNT_Gus_Bib-1.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
