دانلود مقاله ISI انگلیسی شماره 54087
ترجمه فارسی عنوان مقاله

بررسی شدت خطای سیم پیچ استاتور در موتورهای القایی تغذیه با اینورتر

عنوان انگلیسی
Evaluation of stator winding faults severity in inverter-fed induction motors
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
54087 2015 12 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Applied Soft Computing, Volume 32, July 2015, Pages 420–431

ترجمه کلمات کلیدی
سیستم های هوشمند؛ پیش بینی خطا ؛ موتور القایی سه فازی ؛ خطای استاتور
کلمات کلیدی انگلیسی
Intelligent systems; Fault prediction; Three-phase induction motor; Stator faults
پیش نمایش مقاله
پیش نمایش مقاله  بررسی شدت خطای سیم پیچ استاتور در موتورهای القایی تغذیه با اینورتر

چکیده انگلیسی

Three-phase induction motor are one of the most important elements of electromechanical energy conversion in the production process. However, they are subject to inherent faults or failures under operating conditions. The purpose of this paper is to present a comparative study among intelligent tools to classify short-circuit faults in stator windings of induction motors operating with three different models of frequency inverters. This is performed by analyzing the amplitude of the stator current signal in the time domain, using a dynamic acquisition rate according to machine frequency supply. To assess the classification accuracy across the various levels of faults severity, the performance of three different learning machine techniques were compared: (i) fuzzy ARTMAP network; (ii) multilayer perceptron network; and (iii) support vector machine. Results obtained from 2.268 experimental tests are presented to validate the study, which considered a wide range of operating frequencies and load conditions.