کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10369068 | 875245 | 2005 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Noise elimination from measured frequency response functions
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
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چکیده انگلیسی
It is inevitable that measured signals are contaminated with 'noise' when a data acquisition system is used for an experimental measurement. It is also well known in modal testing that the quality of measured frequency response functions (FRFs) is adversely affected by noise originating from test environment as well as electronic devices. This situation often leads to serious difficulties in many applications as they require high-quality FRF data. This paper presents a method based on singular value decomposition (SVD) for the elimination of noise from measured FRFs so as to improve the quality of the measured data. It is believed that this method will enhance the accuracy as well as the success rate of various applications that rely on measured FRFs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 3, May 2005, Pages 615-631
Journal: Mechanical Systems and Signal Processing - Volume 19, Issue 3, May 2005, Pages 615-631
نویسندگان
K.Y. Sanliturk, O. Cakar,