کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
705227 | 891310 | 2008 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Induction machine fault detection using stray flux EMF measurement and neural network-based decision
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Induction machine fault detection using stray flux EMF measurement and neural network-based decision Induction machine fault detection using stray flux EMF measurement and neural network-based decision](/preview/png/705227.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 78, Issue 7, July 2008, Pages 1247–1255
Journal: Electric Power Systems Research - Volume 78, Issue 7, July 2008, Pages 1247–1255
نویسندگان
Khmais Bacha, Humberto Henao, Moncef Gossa, Gérard-André Capolino,