Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 56, Issue 11, Pages 4615-4626Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2009.2029580
Keywords
Diagnosis; fuzzy logic; genetic algorithm (GA); induction motors; monitoring; spectral analysis
Categories
Funding
- Groupe de Recherche en Electrotechnique et Electronique de Nancy (GREEN)
- Universite Henri Poincare, Vandouvrele-Nancy, France
- Laboratorio de Eletr nica Industrial e Acionamento de Maquinas, (LEIAM)
- Universidade Federal de Campina Grande
- Campina Grande
- Paraiba, Brazil
- Coordenacae Aperfeicoamento de Pessoal de Nivel Superior/Comite Frances de Avaliacao da Cooperacao Universitaria e Cientifica com o Brazil (CAPES-COFECUB) [488/05]
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This paper deals with the diagnostic of the signature of rotor broken bars when an induction machine is fed or not by an unbalanced line voltage. These signatures are given by the complex spectrum modulus of line current. In order to make the diagnostic, a genetic algorithm is used to keep the amplitude of all faulty lines. Moreover, a fuzzy logic approach allows us to conclude to the load level operating system and to inform the operator of the rotor fault severity. Several experimental results prove the performance of this method under various load levels and various fault severities. Notwithstanding, this approach requires a steady-state operating condition. The conclusion resulting from this paper is highlighted by experimental results which prove the efficiency of the suggested approach.
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