A FUZZY CLUSTERING ALGORITHM FOR THE CLASSIFICATION OF NON-LINEAR FUNCTIONAL BEHAVIORS IN NUCLEAR REPROCESSING PLANTS

摘要

In nuclear reprocessing plants, it is required to verify the coherence of material flow and the conformity of the process to the prescribed procedures. To aid the verification, the Data Analysis and Interpretation (DAI) software has been developed by some of the authors with the aim of detecting and recognizing different functional behaviors in the liquid transfer from one tank to another during the reprocessing. Monitored pressure and temperature signals are converted using tank calibration curves into volume signals and used for the detection of the start and end times of the functional behaviors and the identification of the transfer type, (i.e., by pump, air-lift or siphon). The present paper illustrates a fuzzy clustering algorithm for performing the identification of various types of non-linear liquid transfers. The performance of the fuzzy clustering classification algorithm is tested on real plant data.