TY - GEN
T1 - Data-driven fault detection in nuclear power plants under sensor degradation
AU - Jin, Xin
AU - Guo, Yin
AU - Edwards, Robert M.
AU - Ray, Asok
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Tools of data-driven fault detection facilitate performance monitoring of complex dynamical systems if the physics-based models are either inadequate or not available. To this end, many data-driven methods have been developed. An inherent difficulty for a completely data-driven fault detection tool is that the detection performance can deduce drastically in the presence of sensor degradation. Symbolic dynamic filtering (SDF) is recently introduced in the literature as a real-time data-driven pattern identification tool, which is built upon the concepts of Symbolic Dynamics, Information Theory and Statistical Mechanics. This paper investigates a SDF-based fault detection algorithm for health monitoring in nuclear power plants under sensor degradation. The proposed fault detection methodology is validated on the International Reactor Innovative & Secure (IRIS) simulator of nuclear power plants, and its performance is comparatively evaluated with existing fault detection tools.
AB - Tools of data-driven fault detection facilitate performance monitoring of complex dynamical systems if the physics-based models are either inadequate or not available. To this end, many data-driven methods have been developed. An inherent difficulty for a completely data-driven fault detection tool is that the detection performance can deduce drastically in the presence of sensor degradation. Symbolic dynamic filtering (SDF) is recently introduced in the literature as a real-time data-driven pattern identification tool, which is built upon the concepts of Symbolic Dynamics, Information Theory and Statistical Mechanics. This paper investigates a SDF-based fault detection algorithm for health monitoring in nuclear power plants under sensor degradation. The proposed fault detection methodology is validated on the International Reactor Innovative & Secure (IRIS) simulator of nuclear power plants, and its performance is comparatively evaluated with existing fault detection tools.
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M3 - Conference contribution
AN - SCOPUS:79958297472
SN - 9781617822667
T3 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
SP - 1586
EP - 1599
BT - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
T2 - 7th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2010, NPIC and HMIT 2010
Y2 - 7 November 2010 through 11 November 2010
ER -