Title :
Vibration monitoring of electric generators without sensor dedicated
Author :
Vieira, P. ; Bobi, Miguel Angel Sanz ; Gomes, Cristiane Ruiz ; Gomes, Hermínio Simões ; do Nascimento, Miguel Pacheco
Author_Institution :
Fed. Univ. of Para, Belém, Brazil
Abstract :
This paper describes a method for on-line condition monitoring of rotating electric generators without a need for installed sensors dedicated. This sensorless method has been based on continuous monitoring vibration using neural networks for the classification of bearing failures experimentally induced. The results obtained have an error of less than 0,5% confirming the validity of the method proposed.
Keywords :
condition monitoring; electric generators; neural nets; power engineering computing; neural networks; online condition monitoring; rotating electric generators; sensorless method; vibration monitoring; Artificial neural networks; Condition monitoring; Electric variables measurement; Fault diagnosis; Generators; Mechanical sensors; Principal component analysis; Sensor phenomena and characterization; Shafts; Vibrations;
Conference_Titel :
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location :
Vi a del Mar
Print_ISBN :
978-1-4244-5695-6
Electronic_ISBN :
978-1-4244-5696-3
DOI :
10.1109/ICIT.2010.5472760
