Abstract
This paper presents an example of multivariate statistical analysis of the variables that characterise and describe safety related abnormal events occurring in nuclear power plants as reported in the Abnormal Occurrence Reporting System (AORS) of the Commission of the European Communities.
The present application of one specific technique, multiple correspondence analysis (MCA), concerns a small subset of the databank, i.e. transients. That is, those abnormal events where disturbances of primary and/or secondary system parameters occurred, or failures in essential support systems.
The theory of the technique is not described here, emphasis is given to the application and the interpretation of the results. The usefulness of this analysis tool in the area of safety related nuclear power plant operating experience data is explored, in particular regarding the checking of the integrity of the data, and as a preliminary for more fine-tuned analysis.
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References
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© 1986 Springer-Verlag Berlin, Heidelberg
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Kalfsbeek, H.W. (1986). Multiple Correspondence Analysis of Abnormal Event Data from Nuclear Power Plants. In: Wingender, H.J. (eds) Reliability Data Collection and Use in Risk and Availability Assessment. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82773-0_24
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DOI: https://doi.org/10.1007/978-3-642-82773-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-82775-4
Online ISBN: 978-3-642-82773-0
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