Detection of IM broken rotor bars using MUSIC pseudo-spectrum and pattern recognition

The fault diagnosis theory and its methods for inductor motor are summarized. Based on the method of current spectrum, a neural network method to diagnose the broken bar number of inductor motor is presented. The training patterns and the diagnosis results for the neural network are given. The broken bar number of inductor motor is diagnosed directly according to the working status parameters. The method is high intelligent and very reliable.

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Application of Supervised and Unsupervised Neural Networks for Broken Rotor Bar Detection in Induction Motors

Cupertino

Giordano

Mininno

et al. 2005

IEEE International Conference on Electric Machines and Drives, 2005.

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Detection of IM broken rotor bars using MUSIC pseudo-spectrum and pattern recognition

Cited by 4 publications

References 10 publications

Diagnosis of rotor fault in induction motor using the MUSIC analysis of the terminal voltage after switch-off

Diagnosis of rotor fault in induction motor using the MUSIC analysis of the terminal voltage after switch-off

Fault Diagnosis of Induction Motor using Neural Networks

Application of Supervised and Unsupervised Neural Networks for Broken Rotor Bar Detection in Induction Motors

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