کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7153171 | 1462457 | 2017 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A case study of sample entropy analysis to the fault detection of bearing in wind turbine
ترجمه فارسی عنوان
مطالعه موردی آنتروپی نمونه ای به منظور تشخیص خطا در توربین بادی
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کلمات کلیدی
تحمل نورد، توربین بادی، آنتروپی نمونه گسل های اولیه،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
Rolling bearing is an important and fragile component in the wind turbine transmission system. The failure of rolling bearing is one of the highest risk events which may result in unexpected economic loss. To give a proper condition assessment of rolling bearing, especially for early fault detection, is of great importance and become an urgent issue to the wind energy industry. In this paper, sample entropy is studied through the field data of wind turbine transmission system measured from Lu Nan Wind Farm in China. Compared with several frequently used statistical indicators, sample entropy features advantages in detecting and evaluating the progress of the early faults of the rolling bearing. The studies show that the sample entropy is an effective and practical tool for condition monitoring of rolling bearing for a wind turbine transmission system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Case Studies in Engineering Failure Analysis - Volume 9, October 2017, Pages 99-111
Journal: Case Studies in Engineering Failure Analysis - Volume 9, October 2017, Pages 99-111
نویسندگان
Qing Ni, Ke Feng, Kesheng Wang, Binyuan Yang, Yu Wang,