A Novel Monitoring of Load Level and Broken Bar Fault Severity Applied to Squirrel-Cage Induction Motors Using a Genetic Algorithm
作者： H. Razik , M.B. de Rossiter Correa , E.R.C. da Silva
关键词: Rotor (electric) 、 Unbalanced line 、 Fuzzy logic 、 Squirrel-cage rotor 、 Engineering 、 Control theory 、 Signature (logic) 、 Genetic algorithm 、 Induction motor 、 Fault (power engineering)
摘要: This paper deals with the diagnostic of signature rotor broken bars when an induction machine is fed or not by unbalanced line voltage. These signatures are given complex spectrum modulus current. In order to make diagnostic, a genetic algorithm used keep amplitude all faulty lines. Moreover, fuzzy logic approach allows us conclude load level operating system and inform operator fault severity. Several experimental results prove performance this method under various levels severities. Notwithstanding, requires steady-state condition. The conclusion resulting from highlighted which efficiency suggested approach.
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