Induction machine fault detection using stray flux EMF measurement and neural network-based decision

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• 作者：Khmais Bacha ; Humberto Henao ; Moncef Gossa ; Gé ; rard-André ; Capolino
• 关键词：Induction machine ; Fault detection ; Rotor broken bar ; Voltage unbalance ; Stray flux ; Neural network
• 刊名：Electric Power Systems Research
• 出版年：2008
• 出版时间：July 2008
• 年：2008
• 卷：78
• 期：7
• 页码：1247-1255
• 全文大小：2086 K

文摘

The aim of this paper is to present the performances of voltage unbalance and rotor fault detections using an external stray flux sensor in a working three-phase induction machine. The automatic classification and fault severity degree evaluation are realized by using a neural network approach based on a multi-layer perceptron (MLP) structure. In this paper, it is proved that a simple external stray flux sensor is more efficient than the classical stator current sensor to detect rotor broken bar and voltage unbalance, using data processing at low-frequency resolution.