دانلود مقاله ISI انگلیسی شماره 53980
ترجمه فارسی عنوان مقاله

بررسی تجربی نظارت بر وضعیت ماشین القایی و تشخیص خطا با استفاده از تکنیک های پردازش سیگنال دیجیتالی

عنوان انگلیسی
Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
53980 2003 25 صفحه PDF
منبع

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

Journal : Electric Power Systems Research, Volume 65, Issue 3, June 2003, Pages 197–221

ترجمه کلمات کلیدی
ماشین القایی؛ خطا ؛ نظارت بر وضعیت؛ تشخیص؛ پردازش سیگنال های دیجیتال - تبدیل فوریه
کلمات کلیدی انگلیسی
Induction machine; Fault; Condition monitoring; Diagnostic; Digital signal processing; Fourier transform
پیش نمایش مقاله
پیش نمایش مقاله  بررسی تجربی نظارت بر وضعیت ماشین القایی و تشخیص خطا با استفاده از تکنیک های پردازش سیگنال دیجیتالی

چکیده انگلیسی

Condition monitoring is used for increasing machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient condition monitoring scheme is capable of providing warning and predicting the faults at early stages. The monitoring system obtains information about the machine in the form of primary data and through the use of modern signal processing techniques; it is possible to give vital information to equipment operator before it catastrophically fails. The suitability of a signal processing technique to be used depends upon the nature of the signal and the required accuracy of the obtained information. Therefore, in this paper, signals obtained from the monitoring system are treated with different processing techniques with suitably modified algorithms to extract detailed information for machine health diagnosis. In this study, on-line analysis of the acquired signals has been performed using c++, while matlab has been used to perform the off-line analysis.