کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8083751 | 1521703 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Parameter identifiability of Boolean networks with application to fault diagnosis of nuclear plants
ترجمه فارسی عنوان
شناسایی پارامترهای شبکه های بولین با استفاده از تشخیص خطا از نیروگاه های هسته ای
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کلمات کلیدی
شبکه بولی، تشخیص گسل، راکتور گرمایش هسته ای، شناسایی پارامتر،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی هسته ای و مهندسی
چکیده انگلیسی
Fault diagnosis depends critically on the selection of sensors monitoring crucial process variables. Boolean network (BN) is composed of nodes and directed edges, where the node state is quantized to the Boolean values of True or False and is determined by the logical functions of the network parameters and the states of other nodes with edges directed to this node. Since BN can describe the fault propagation in a sensor network, it can be applied to propose sensor selection strategy for fault diagnosis. In this article, a sufficient condition for parameter identifiability of BN is first proposed, based on which the sufficient condition for fault identifiability of a sensor network is given. Then, the fault identifiability condition induces a sensor selection strategy for sensor selection. Finally, the theoretical result is applied to the fault diagnosis-oriented sensor selection for a nuclear heating reactor plant, and both the numerical computation and simulation results verify the feasibility of the newly built BN-based sensor selection strategy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Engineering and Technology - Volume 50, Issue 4, May 2018, Pages 599-605
Journal: Nuclear Engineering and Technology - Volume 50, Issue 4, May 2018, Pages 599-605
نویسندگان
Zhe Dong, Yifei Pan, Xiaojin Huang,