A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system

Author(s):  
Minjia Kruger ◽  
Steven X. Ding ◽  
Adel Haghani ◽  
Peter Engel ◽  
Torsten Jeinsch
2014 ◽  
Vol 875-877 ◽  
pp. 1771-1776
Author(s):  
Dimitrios G. Giaourakis ◽  
Athanasios Safacas ◽  
Savvas Tsotoulidis

In this paper, the operation of a wind energy conversion system (WECS) incorporating a Double-Fed Induction Generator (DFIG), under various wind speeds and faulty conditions, is investigated through simulation. In this study the simulation of such a system (DFIG-WECS) was held by using the software Matlab/Simulink.. The simulation results are presented and evaluated for the issues of fault diagnosis and identification. More specifically, a DFIG-WECS has been simulated under various wind speeds and when a short-circuit occurs in the back-to-back converter and in the DC link from the point of view of these issues. In this work, it has been concluded that the investigated faults have caused a specific and unique harmonic content in grid, rotor and stator phase currents, which could be used for fault diagnosis and identification.


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