کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5003993 1461190 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistical process monitoring based on orthogonal multi-manifold projections and a novel variable contribution analysis
ترجمه فارسی عنوان
نظارت بر فرایند آماری براساس پیش بینی های چندجمله ی متعامد و تحلیل توزیع متغیر جدید
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Multivariate statistical methods have been widely applied to develop data-based process monitoring models. Recently, a multi-manifold projections (MMP) algorithm was proposed for modeling and monitoring chemical industrial processes, the MMP is an effective tool for preserving the global and local geometric structure of the original data space in the reduced feature subspace, but it does not provide orthogonal basis functions for data reconstruction. Recognition of this issue, an improved version of MMP algorithm named orthogonal MMP (OMMP) is formulated. Based on the OMMP model, a further processing step and a different monitoring index are proposed to model and monitor the variation in the residual subspace. Additionally, a novel variable contribution analysis is presented for fault diagnosis by integrating the nearest in-control neighbor calculation and reconstruction-based contribution analysis. The validity and superiority of the proposed fault detection and diagnosis strategy are then validated through case studies on the Tennessee Eastman benchmark process.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISA Transactions - Volume 65, November 2016, Pages 407-417
نویسندگان
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