کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
722323 892326 2006 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
NONLINEAR MULTISCALE FAULT DETECTION AND IDENTIFICATION
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
NONLINEAR MULTISCALE FAULT DETECTION AND IDENTIFICATION
چکیده انگلیسی

A nonlinear multiscale multivariate statistical process control method is proposed to address fault detection and diagnosis issues at different scales in nonlinear processes. A kernel principal component analysis (KPCA) model is built with the reconstructed data obtained by performing wavelet transform and inverse wavelet transform sequentially on measured data. New variable contributions to monitoring statistics are also derived. A CSTR simulation study compares the proposed approach with several existing methods in terms of false alarm rate, missed alarm rate and detection delay.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 39, Issue 13, 2006, Pages 120–125
نویسندگان
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