A Markov Model for Assessing the Reliability of a Digital Feedwater Control System

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A Markov approach has been selected to represent and quantify the reliability model of a digital feedwater control system (DFWCS). The system state, i.e., whether a system fails or not, is determined by the status of the components that can be characterized by component failure modes. Starting from the system state that has no component failure, possible transitions out of it are all failure modes of all components in the system. Each additional component failure mode will formulate a different system state that may or may not be a system failure state. The Markov transition diagram is developed by strictly ... continued below

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Chu,T.L.; Yue, M.; Martinez-Guridi, G. & Lehner, J. February 11, 2009.

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A Markov approach has been selected to represent and quantify the reliability model of a digital feedwater control system (DFWCS). The system state, i.e., whether a system fails or not, is determined by the status of the components that can be characterized by component failure modes. Starting from the system state that has no component failure, possible transitions out of it are all failure modes of all components in the system. Each additional component failure mode will formulate a different system state that may or may not be a system failure state. The Markov transition diagram is developed by strictly following the sequences of component failures (i.e., failure sequences) because the different orders of the same set of failures may affect the system in completely different ways. The formulation and quantification of the Markov model, together with the proposed FMEA (Failure Modes and Effects Analysis) approach, and the development of the supporting automated FMEA tool are considered the three major elements of a generic conceptual framework under which the reliability of digital systems can be assessed.

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  • 6th ANS International Topical Meeting on Nuclear Plant Instrumentation, Controls, and Human Machine Interface Technology; Knoxville, Tennessee; 20090405 through 20090409

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  • Report No.: BNL--81553-2009-CP
  • Grant Number: DE-AC02-98CH10886
  • Office of Scientific & Technical Information Report Number: 949750
  • Archival Resource Key: ark:/67531/metadc930600

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  • February 11, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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Chu,T.L.; Yue, M.; Martinez-Guridi, G. & Lehner, J. A Markov Model for Assessing the Reliability of a Digital Feedwater Control System, article, February 11, 2009; United States. (digital.library.unt.edu/ark:/67531/metadc930600/: accessed June 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.