کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
156882 456952 2011 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS
چکیده انگلیسی

New approaches are proposed for nonlinear process monitoring and fault diagnosis based on kernel principal component analysis (KPCA) and kernel partial least analysis (KPLS) models at different scales, which are called multiscale KPCA (MSKPCA) and multiscale KPLS (MSKPLS). KPCA and KPLS are applied to these multiscale data to capture process variable correlations occurring at different scales. Main contribution of the paper is to propose nonlinear fault diagnosis methods based on multiscale contribution plots. In particular, the nonlinear scores of the variables at each scale are derived. These nonlinear scale contributions can be computed, which is very useful in diagnosing faults that occur mainly at a single scale. The proposed methods are applied to process monitoring of a continuous annealing process and fused magnesium furnace. Application results indicate that the proposed approach effectively captures the complex relations in the process and improves the diagnosis ability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemical Engineering Science - Volume 66, Issue 1, 1 January 2011, Pages 64–72
نویسندگان
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