Fault diagnosis of Pakistan Research Reactor-2 with data-driven techniques-Reference-Cited by-同舟云学术

Fault diagnosis of Pakistan Research Reactor-2 with data-driven techniques

Published:2016-04 Issue: Volume:90 Page:433-440
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Jamil Farhan,Abid Muhammad,Haq Inamul,Khan Abdul Qayyum,Iqbal Masood

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference38 articles.

1. Abid, M., July 2010. Fault detection in nonlinear systems: an observer-based approach (Ph.D. thesis), University of Duisburg-Essen, Duisburg, Germany.

2. Fault detection in nuclear systems using sliding mode observers;Ablay;Nucl. Sci. Eng.,2013

3. Exponential discriminant analysis for fault diagnosis;Adil;Neurocompuring,2016

4. Nuclear power plant status diagnostics using an artificial neural network;Bartlett;Nucl. Technol.,1992

5. Safety analysis for core conversion (from HEU to LEU) of Pakistan Research Reactor-2 (PARR-2);Bokhari;Nucl. Eng. Des.,2010

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