Virtual instrumentation and fuzzy systems applied to predictive maintenance of synchronous condensers

Author

do Vale, J.M.A. ; Bramatti, N. ; Sena, A.J.C. ; de Oliveira, R.C.L.

Author_Institution

Electr. Eng., Central Lab. of Eletronorte, Belem, Brazil

fYear

2004

fDate

8-11 Nov. 2004

Firstpage

470

Lastpage

474

Abstract

This technical paper aims at description and implementation of a synchronous condenser predictive maintenance aid, which is structured in two modules. The first one describes the acquisition, storage and signal transmission sensed by vibration, temperature and pressure sensors. The second one describes the diagnosis module bases on fuzzy logic to aid the technical personnel on the synchronous condensers mechanical fault detection. The system uses the Eletronorte corporative intranet allowing remote analysis and visualization at several places, avoiding specialists on site inspection, reducing costs and becoming the solutions faster and more efficient.

Keywords

cost reduction; data acquisition; fault diagnosis; fuzzy logic; maintenance engineering; power system analysis computing; power system economics; power system faults; pressure sensors; temperature sensors; vibration measurement; virtual instrumentation; Eletronorte corporative intranet; acceleration measurement; cost reduction; data acquisition; fault diagnosis; fuzzy logic; fuzzy system; mechanical fault detection; predictive maintenance; pressure sensor; remote analysis; signal transmission; synchronous condenser; temperature sensor; vibration sensor; virtual instrumentation; Fault diagnosis; Fuzzy logic; Fuzzy systems; Instruments; Mechanical sensors; Personnel; Predictive maintenance; Sensor phenomena and characterization; Temperature sensors; Vibrations;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exposition: Latin America, 2004 IEEE/PES

Print_ISBN

0-7803-8775-9

Type

conf

DOI

10.1109/TDC.2004.1432425

Filename

1432425