Distributed data and information fusion for nuclear reactor condition monitoring

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

An increasing number of civil nuclear reactors world
wide are approaching, and have in many cases exceeded, their
original design lives. In order to satisfy regulatory requirements
and ensure that the reactors are safe to operate, whilst maximising
availability and ensuring economic viability, the volume
of installed condition monitoring has increased significantly in
recent years. Due to the age of many stations however, there is
often the lack of a modern, integrated IT infrastructure with
many, often overlapping, data sources of varying measurement
types and sample rates. This paper describes a method for the
distributed condition monitoring of nuclear reactors using intelligent
software agents, which by means of a common ontology can
autonomously collect and analyse data from multiple locations.
The use of data and information fusion to derive more detailed
condition monitoring results is shown to be a task well suited
to agent based condition monitoring and a prototype system
designed along these principles is described. Case studies are
presented of the application of the prototype system to condition
monitoring analysis of real data sets from nuclear reactors in the
UK.
LanguageEnglish
Pages182-189
Number of pages8
JournalIEEE Transactions on Nuclear Science
Volume59
Issue number1
Early online date5 Jan 2012
DOIs
Publication statusPublished - 1 Feb 2012

Fingerprint

Information fusion
multisensor fusion
nuclear reactors
Data fusion
Condition monitoring
Nuclear reactors
fusion
prototypes
viability
Ontology
economics
stations
reactors
Economics
Monitoring

Keywords

  • condition monitoring
  • nuclear reactors
  • information fusion

Cite this

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Distributed data and information fusion for nuclear reactor condition monitoring. / Wallace, Christopher; West, Graeme; Mcarthur, Stephen; Towle, Dave.

In: IEEE Transactions on Nuclear Science, Vol. 59, No. 1, 01.02.2012, p. 182-189.

Research output: Contribution to journalArticle

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