DocumentCode
157347
Title
Harmonic order tracking analysis: A novel method for the diagnosis of induction generators
Author
Sapena-Bano, A. ; Martinez-Roman, J. ; Perez-Cruz, J. ; Pineda-Sanchez, M. ; Roger-Folch, J. ; Riera-Guasp, M. ; Puche-Panadero, R.
Author_Institution
Dept. of Electr. Eng., Univ. Politec. de Valencia, Valencia, Spain
fYear
2014
fDate
2-5 Sept. 2014
Firstpage
1765
Lastpage
1771
Abstract
Improved fault diagnostic techniques in wind turbines is a field of growing interest, given the negative impact that unexpected breakdowns have on the profitability of wind farms. New diagnostic techniques based on generator currents monitoring have recently been developed, but their use is still irrelevant despite the advantages that current monitoring presents versus monitoring vibrations. In part, this situation can be due to the needs of relatively high computing power not available in the wind-groups and also, to the use of signals that generate volumes of data difficult to transfer to control centers, where they could be processed. This paper introduces a methodology that aims to solve these problems. In this paper a novel diagnostic method based on monitoring the generator currents is proposed. This approach is based on the tracking analysis of the fault components using the harmonic order as independent variable. This approach can be implemented in low cost digital devices; the resultant patterns are very simple, since their shape is the same no matter the changes in the fundamental frequency and thus, are easily interpretable even by non-qualified persons. Moreover these patterns are characterized by a very low number of parameters, which make easy their transmission to remote control centers. This new approach is theoretically justified and validated by laboratory tests.
Keywords
asynchronous generators; condition monitoring; electric current measurement; fault diagnosis; harmonic analysis; power generation faults; wind power plants; wind turbines; fault components; fundamental frequency; generator current monitoring; harmonic order tracking analysis; improved fault diagnostic techniques; induction generator diagnosis; laboratory tests; low cost digital devices; remote control centers; vibration monitoring; wind farm profitability; wind turbines; wind-groups; Current measurement; Frequency measurement; Generators; Harmonic analysis; Monitoring; Rotors; Stators; Hilbert transform; Induction generators; broken rotor bar; condition monitoring; fault diagnosis; harmonic order tracking; motor-current signature analysis; winding asymmetries;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines (ICEM), 2014 International Conference on
Conference_Location
Berlin
Type
conf
DOI
10.1109/ICELMACH.2014.6960422
Filename
6960422
Link To Document