کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4998410 1460346 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An accelerated alignment method for analyzing time sequences of industrial alarm floods
ترجمه فارسی عنوان
یک روش اصلاح سریع برای تجزیه و تحلیل توالی های زمانی از سیل های زنگ صنعتی
کلمات کلیدی
سیستم های زنگ خطر صنعتی، هشدار سیل، ترتیب توالی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تکنولوژی و شیمی فرآیندی
چکیده انگلیسی
In industrial processes, analyzing and predicting process faults are quite important, which could help operators to take timely and effective responses to ensure process safety and prevent further losses, especially during alarm floods. Various fault analysis methods have been proposed so far, among which the alarm flood sequence alignment (AFSA) methods, unlike other traditional model-based or statistical methods, provide fault inference from the perspective of alarm sequence similarity assessment. A new AFSA method, the match-based accelerated alignment (MAA) is proposed to generate insightful and informative alarm sequence alignments. MAA focuses mainly on alarm match analysis and outperforms other methods in terms of robustness towards nuisance alarms and improved computational efficiency. More importantly, the alarm time information is well considered and explored in MAA, rendering its alignment results capable of revealing the real similarity of alarm floods. Numerical examples and a real chemical plant case are studied to demonstrate the effectiveness and efficiency of the proposed MAA method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Process Control - Volume 57, September 2017, Pages 102-115
نویسندگان
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