Title :
Fault detection and diagnosis for stand alone system based on induction generator
Author :
Gehrke, C. ; de Campos, M. ; de Camargo, R.F. ; da Silva, G. ; Salvadori, F. ; Rech, C. ; Lima, A.M.N.
Author_Institution :
Dept. of Technol., Regional Univ. of the Northwest of Rio Grande do Sul State, Ijui, Brazil
fDate :
Sept. 27 2009-Oct. 1 2009
Abstract :
This work presents an intelligent stand-alone system that is monitoring and analyzing results with the insertion of faults in this system. To fault detection it is used root mean square value combined with neural network. To ensure the fault signature, it was made different harmonic analysis simulations. The results obtained so far indicated that is possible detect the failure in the stand-alone system, so that, improving the repair of this system.
Keywords :
asynchronous generators; fault diagnosis; harmonic analysis; mean square error methods; neural nets; power engineering computing; power generation faults; fault detection; fault diagnosis; fault signature; harmonic analysis simulations; induction generator; intelligent stand-alone system; neural network; root mean square value; Costs; Electrical fault detection; Fault detection; Fault diagnosis; Induction generators; Intelligent systems; Isolation technology; Power generation; Power system reliability; Pulse width modulation inverters; Fault Detection and Diagnosis; Intelligent Systems; Stand-alone generation systems;
Conference_Titel :
Power Electronics Conference, 2009. COBEP '09. Brazilian
Conference_Location :
Bonito-Mato Grosso do Sul
Print_ISBN :
978-1-4244-3369-8
Electronic_ISBN :
2175-8603
DOI :
10.1109/COBEP.2009.5347719
