کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
166012 1423409 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive Local Outlier Probability for Dynamic Process Monitoring
ترجمه فارسی عنوان
احتمال پذیرش محلی برای نظارت فرایند پویا؟
کلمات کلیدی
متغیر زمان توزیع داده های پیچیده، احتمال برون رفت از محل، چند حالت، تشخیص گسل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی

Complex industrial processes often have multiple operating modes and present time-varying behavior. The data in one mode may follow specific Gaussian or non-Gaussian distributions. In this paper, a numerically efficient moving window local outlier probability algorithm is proposed. Its key feature is the capability to handle complex data distributions and incursive operating condition changes including slow dynamic variations and instant mode shifts. First, a two-step adaption approach is introduced and some designed updating rules are applied to keep the monitoring model up-to-date. Then, a semi-supervised monitoring strategy is developed with an updating switch rule to deal with mode changes. Based on local probability models, the algorithm has a superior ability in detecting faulty conditions and fast adapting to slow variations and new operating modes. Finally, the utility of the proposed method is demonstrated with a numerical example and a non-isothermal continuous stirred tank reactor.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Chemical Engineering - Volume 22, Issue 7, July 2014, Pages 820–827
نویسندگان
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