Pattern recognition in APL with application to reactor diagnostics

ABSTRACT

The paper describes implementation in APL of some methods of pattern recognition. These general-purpose techniques of data analysis are illustrated by application to Nuclear Power Plant Diagnostics. In particular we consider vibration spectra analysis, including simple descriptive statistics, smoothing and peak extractions, multidimensional scaling for data visualization, informative features selection, cluster analysis and classification.Implementation of algorithms used in the paper has been done in Dyalog APL. The paper discusses benefits of using APL for the problem area.Application is based on analysis of real vibration characteristics measured at the Nuclear Power Plant in Novovoronehz. The paper discusses the technology of the analysis, the discovered data structure, and malfunction diagnostics.The paper also mentions using the implemented techniques in the training of engineers for Nuclear Power plant and other applications.

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INDEX TERMS

Primary Classification:
  F. Theory of Computation
  F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY

Additional Classification:
  G. Mathematics of Computing

General Terms:
Algorithms, Design, Languages