کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4976821 | 1451840 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis](/preview/png/4976821.png)
چکیده انگلیسی
Local mean decomposition (LMD) is a promising approach to implement time-frequency representation (TFR) for multicomponent amplitude-modulated (AM) and frequency-modulated (FM) signal analysis; however, its performance usually suffers from end effect and mode mixing problems. To address this issue, this paper proposes a novel comprehensive scheme to improve LMD performance. The novel scheme can automatically determine the fix subset size of the moving average algorithm and the optimal number of sifting iterations in a sifting process. Extensive simulations have been explored for multicomponent AM-FM signal analysis by means of TFR with the improved LMD. Moreover, the improved LMD shows potential application in bearing fault diagnosis in conjunction with the well-known fast kurtogram.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 95, October 2017, Pages 468-487
Journal: Mechanical Systems and Signal Processing - Volume 95, October 2017, Pages 468-487
نویسندگان
Zhiliang Liu, Yaqiang Jin, Ming J. Zuo, Zhipeng Feng,