کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
559825 | 875107 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnosis of subharmonic faults of large rotating machinery based on EMD
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Diagnosis of subharmonic faults of large rotating machinery based on EMD Diagnosis of subharmonic faults of large rotating machinery based on EMD](/preview/png/559825.png)
چکیده انگلیسی
The vibration signals always carry the abundant dynamic information of a machine and are very useful for the feature extraction and fault diagnosis. In practice, most subharmonic signals have a close relationship to time variables and can manifest large amplitude fluctuation, transient vibration, or modulation signals in time domain. In view of this, this paper describes an effective method to search the features of subharmonic faults of large rotating machinery based on empirical mode decomposition (EMD). Case study on some actual vibration signals of machine parts shows that EMD is an adaptive and unsupervised method in feature extraction and it provides an attractive alternative to the traditional diagnostic methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 23, Issue 2, February 2009, Pages 467–475
Journal: Mechanical Systems and Signal Processing - Volume 23, Issue 2, February 2009, Pages 467–475
نویسندگان
Fangji Wu, Liangsheng Qu,