Stator fault analysis of three-phase induction motors using information measures and artificial neural networks

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• 作者：Gustavo Henrique Bazan^a ; ^b ; Paulo Rogé ; rio Scalassara^a ; ^{prscalassara@utfpr.edu.br} ; Wagner Endo^a ; Alessandro Goedtel^a ; Wagner Fontes Godoy^a ; Rodrigo Henrique Cunha Palá ; cios^a
• 关键词：Three-phase induction motor ; Artificial neural networks ; Information measures ; Stator fault
• 刊名：Electric Power Systems Research
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：143
• 期：Complete
• 页码：347-356
• 全文大小：2429 K
• 卷排序：143

文摘

Novel method to identify stator short circuit fault in three-phase induction motors. Measures of mutual information between current signals as feature vectors. Experimental tests with motors with different voltage unbalance and load conditions. Two different neural network topologies are presented and compared as classifiers.