کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7104349 1460339 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Isolating incipient sensor fault based on recursive transformed component statistical analysis
ترجمه فارسی عنوان
جداسازی گسل سنسور ابتدایی بر مبنای تجزیه و تحلیل آماری مولفه تبدیل بازگشتی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
This paper considers the isolation problem of incipient sensor fault. Based on recursive transformed component statistical analysis (RTCSA), two different isolation methods are proposed. The first method is called subspace reconstruction, where elements in specific subspaces are eliminated, and then reconstructed by minimizing the reconstructed detection index. The faulty variable is determined by the least scaled reconstructed detection index. The second method is called subblock detection, which has less online computational complexity. The subblocks of the measurement matrix are sequentially selected in each sliding window to calculate the subblock detection indices, and the faulty variable is determined by the largest subblock detection margin. Compared with the existing isolation methods such as reconstruction-based contribution (RBC) and its variant termed as average residual-difference reconstruction contribution plot (ARdR-CP), the superior isolation performances of the proposed methods are illustrated by a numerical example as well as a simulation on a continuous stirred tank reactor.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 64, April 2018, Pages 112-122
نویسندگان
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