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

fYear

2009

fDate

Sept. 27 2009-Oct. 1 2009

Firstpage

1052

Lastpage

1057

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Conference, 2009. COBEP '09. Brazilian

Conference_Location

Bonito-Mato Grosso do Sul

ISSN

2175-8603

Print_ISBN

978-1-4244-3369-8

Electronic_ISBN

2175-8603

Type

conf

DOI

10.1109/COBEP.2009.5347719

Filename

5347719