کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9703108 | 1463257 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detection of rolling element bearing defects by adaptive filtering
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Most of the difficulties encountered when detecting initial bearing defects are due to the presence of noise in the measured signals. In the present paper, we show the effectiveness of using Adaptive Noise Cancellation techniques, in enhancing the vibration signal which is corrupted with noise in the low frequency spectrum. Two algorithms have been used in the paper, the Adaptive Noise Cancellation (ANC) and the Adaptive Self-Tuning filter (AST). The two algorithms have been first of all tested on a computer simulated signals; then, applied on measured signals on a bearing fault simulator. It has been found that adaptive filtering increases the signal to noise ratio for both simulated and measured signals.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Mechanics - A/Solids - Volume 24, Issue 2, MarchâApril 2005, Pages 293-303
Journal: European Journal of Mechanics - A/Solids - Volume 24, Issue 2, MarchâApril 2005, Pages 293-303
نویسندگان
Imed Khemili, Mnaouar Chouchane,