Title :
A Visual Interactive Method for Prime Implicants Identification
Author :
Di Maio, Francesco ; Baronchelli, Samuele ; Zio, Enrico
Author_Institution :
Energy Dept., Politec. di Milano, Milan, Italy
Abstract :
We propose a visual interactive method for the identification of the Prime Implicants (PIs) of dynamic non-coherent systems. Visual interactive methods integrate mathematical and symbolic models with runtime interaction and real-time graphic display, which allow visualizing the underlying physical relationships among process parameters. The proposed method is based on a parallel coordinates data mining tool that relies on an innovative pruning procedure which, on the basis of a proper selection of characteristic features of the accident sequences, retrieves the PIs among the whole set of implicants in terms of process parameter values or component failure states or both. The method is exemplified on an artificial case study, and then applied to the dynamic reliability analysis of the Airlock System of a Canadian Deuterium Uranium reactor.
Keywords :
data mining; feature selection; fission reactor accidents; nuclear engineering computing; nuclear power stations; uranium; Canadian Deuterium Uranium reactor; PI Identification; PI retrieval; accident sequences; airlock system; characteristic feature selection; component failure states; dynamic noncoherent systems; dynamic reliability analysis; mathematical models; parallel coordinate data mining tool; physical relationship visualization; prime implicant identification; process parameter values; process parameters; pruning procedure; real-time graphic display; runtime interaction; symbolic models; visual interactive method; Accidents; Data mining; Data visualization; Deuterium; Inductors; Reliability; Visualization; Dynamic reliability; data mining; nuclear power plants; paraller coordinates diagram; prime implicants;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2014.2371015
