کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7152893 1462431 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dimensionality reduction via variables selection - Linear and nonlinear approaches with application to vibration-based condition monitoring of planetary gearbox
ترجمه فارسی عنوان
کاهش ابعاد از طریق انتخاب متغیرها - رویکردهای خطی و غیر خطی با استفاده از نظارت بر شرایط ارتعاش روی گیربکس سیاره ای
کلمات کلیدی
کاهش ابعاد، انتخاب ویژگی، رویکرد خطی و غیر خطی، رگرسیون حداقل مربع، کمند، تشخیص گیربکس سیاره ای،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی
Feature extraction and variable selection are two important issues in monitoring and diagnosing a planetary gearbox. The preparation of data sets for final classification and decision making is usually a multi-stage process. We consider data from two gearboxes, one in a healthy and the other in a faulty state. First, the gathered raw vibration data in time domain have been segmented and transformed to frequency domain using power spectral density. Next, 15 variables denoting amplitudes of calculated power spectra were extracted; these variables were further examined with respect to their diagnostic ability. We have applied here a novel hybrid approach: all subset search by using multivariate linear regression (MLR) and variables shrinkage by the least absolute selection and shrinkage operator (Lasso) performing a non-linear approach. Both methods gave consistent results and yielded subsets with healthy or faulty diagnostic properties.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Acoustics - Volume 77, March 2014, Pages 169-177
نویسندگان
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