Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

Distributed data and information fusion for nuclear reactor condition monitoring

Wallace, Christopher and West, Graeme and Mcarthur, Stephen and Towle, Dave (2012) Distributed data and information fusion for nuclear reactor condition monitoring. IEEE Transactions on Nuclear Science, 59 (1). pp. 182-189. ISSN 0018-9499

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.