کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
387785 660908 2008 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
چکیده انگلیسی

This paper presents establishing intelligent system for faults detection and classification of induction motor using wavelet support vector machine (W-SVM). Support vector machines (SVM) is well known as intelligent classifier with strong generalization ability. Application of nonlinear SVM using kernel function is widely used for multi-class classification procedure. In this paper, building kernel function using wavelet will be introduced and applied for SVM multi-class classifier. Moreover, the feature vectors for training classification routine are obtained from transient current signal that preprocessed by discrete wavelet transform. In this work, principal component analysis (PCA) and kernel PCA are performed to reduce the dimension of features and to extract the useful features for classification process. Hence, a relatively new intelligent faults detection and classification method called W-SVM is established. This method is used to induction motor for faults classification based on transient current signal. The results show that the performance of classification has high accuracy based on experimental work.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 35, Issues 1–2, July–August 2008, Pages 307–316
نویسندگان
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