DocumentCode
735597
Title
Intelligent system for fault detection in wind turbines gearbox
Author
Mesquita Brandao, R.F. ; Beleza Carvalho, J.A. ; Maciel Barbosa, F.P.
Author_Institution
ISEP/IPP, Porto, Portugal
fYear
2015
fDate
June 29 2015-July 2 2015
Firstpage
1
Lastpage
6
Abstract
New generations of turbines have lower repair and maintenance costs than the previous generation. This is justified by the development of new components and materials. As the power of newer turbines is usually substantially larger, it is possible to get an economy of scale and lower maintenance costs per kW of rated power. This is simply because it is not needed to service a large turbine more often than a small one. New methods of earlier detection of faults are needed. The use of all information from SCADA (Supervisory Control and Data Acquisition) system can be useful, but it is necessary to develop tools to deal with bigger amount of information. Neural networks can help and turn possible new maintenance and operation schemes.
Keywords
Generators; Monitoring; Neural networks; Preventive maintenance; SCADA systems; Wind turbines; Fault detection; Neural networks; SCADA systems; Wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech, 2015 IEEE Eindhoven
Conference_Location
Eindhoven, Netherlands
Type
conf
DOI
10.1109/PTC.2015.7232407
Filename
7232407
Link To Document