دانلود مقاله ISI انگلیسی شماره 53944
عنوان فارسی مقاله

نظارت بر وضعیت ماشین القایی با استفاده از جریان موتور فیلتر درجه یک

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
53944 2009 13 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Induction machine condition monitoring using notch-filtered motor current
منبع

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

Journal : Mechanical Systems and Signal Processing, Volume 23, Issue 8, November 2009, Pages 2658–2670

کلمات کلیدی
ماشین القایی؛ نظارت بر وضعیت؛ شکاف فیلتر؛ چولگی؛ بیشترین مقدار
پیش نمایش مقاله
پیش نمایش مقاله نظارت بر وضعیت ماشین القایی با استفاده از جریان موتور فیلتر درجه یک

چکیده انگلیسی

This paper presents a new approach to induction motor condition monitoring using notch-filtered motor current signature analysis (NFMCSA). Unlike most of the previous work utilizing motor current signature analysis (MCSA) using spectral methods to extract required features for detecting motor fault conditions, here NFMCSA is performed in time-domain to extract features of energy, sample extrema, and third and fourth cumulants evaluated from data within sliding time window. Six identical three-phase induction motors were used for the experimental verification of the proposed method. One healthy machine was used as a reference, while other five with different synthetic faults were used for condition detection and classification. Extracted features obtained from NFMCSA of all motors were employed in three different and popular classifiers. The proposed motor current analysis and the performance of the features used for fault detection and classification are examined at various motor load levels and it is shown that a successful induction motor condition monitoring system is developed. Developed system is also able to indicate the load level and the type of a fault in multi-dimensional feature space representation. In order to test the generality and applicability of the developed method to other induction motors, data acquired from another healthy induction motor with different number of poles and rated power is also incorporated into the system. In spite of the above difference, the proposed feature set successfully locates the healthy motor within the classification cluster of “healthy motors” on the feature space.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.