A rotor fault intelligence diagnosis system based on virtual instrument
In order to get the rotor fault characteristic component in stator current, an advanced correlation algorithm is presented in this paper. Because of faster and multi-channel ADC subsystem, S3C2410 ARM is chosen as the core of stator current acquisition to meet the need of spectrum analysis. By programming on LabWindows/CVI — a virtual instrument development tool, the fault information can be separated from stator current signal. Then make the spectrum analysis to the residual signal, the broken bar fault can be diagnosed easily. The results of experiment indicate that a reliable and portable system can be realized to meet the purpose of testing and diagnosing the faults of induction motors in-situation, and method is feasible and effective.