کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4977389 1451925 2018 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Extreme-point weighted mode decomposition
ترجمه فارسی عنوان
تجزیه حالت وزن با شدت نقطه
کلمات کلیدی
تجزیه و تحلیل فرکانس زمان، عملکرد حالت درونی، تجزیه حالت تجربی، تجزیه حالت وزن با شدت نقطه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


- A new signal decomposition method termed EWMD with two algorithms is proposed.
- A new IMF criterion closely related to its definition is established.
- The accuracy, decomposition capability and orthogonality of EWMD are studied.
- EWMD is compared with EMD by analyzing synthetic and vibration signals of rolling bearing.

empirical mode decomposition (EMD) is an effective method for nonlinear and nonstationary signal analysis. In this paper a new signal decomposition method termed extreme-point weighted mode decomposition (EWMD) is proposed for improving the accuracy of EMD. In EWMD method, an newly intrinsic mode function (IMF) with physically meaning is defined to overcome the drawback of EMD that constructs mean curve by interpolating local extreme-points. Based on that, a new mean curve is constructed by using the weighting values of adjacent extreme-points for sifting process. Also a new IMF criterion closely related to its definition is established. We have deeply studied and compared the proposed method with EMD method by analyzing synthetic and mechanical vibration signals and the results show the superiority of proposed method in IMF accuracy, decomposition capability and orthogonality.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 142, January 2018, Pages 366-374
نویسندگان
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