کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
13422141 | 1841703 | 2020 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling](/preview/png/13422141.png)
چکیده انگلیسی
Bearings are the culprit of a large quantity of Wind Turbine (WT) gearbox failures and account for a high percentage of the total of global WT downtime. Damage within rolling element bearings have been shown to initiate beneath the surface which defies detection by conventional vibration monitoring as the geometry of the rolling surface is unaltered. However, once bearing damage reaches the surface, it generates spalling and quickly drives the deterioration of the entire gearbox through the introduction of debris into the oil system. There is a pressing need for performing damage detection before damage reaches the bearing surface. This paper presents a methodology for detecting sub-surface damage using Acoustic Emission (AE) measurements. AE measurements are well known for their sensitivity to incipient damage. However, the background noise and operational variations within a bearing necessitate the use of a principled statistical procedure for damage detection. This is addressed here through the use of probabilistic modelling, more specifically Gaussian mixture models. The methodology is validated using a full-scale rig of a WT bearing. The bearings are seeded with sub-surface and early-stage surface defects in order to provide a comparison of the detectability at each level of a fault progression.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 147, Part 1, March 2020, Pages 776-797
Journal: Renewable Energy - Volume 147, Part 1, March 2020, Pages 776-797
نویسندگان
R. Fuentes, R.S. Dwyer-Joyce, M.B. Marshall, J. Wheals, E.J. Cross,