Dependency Analysis in Coal based Power Plants using Fuzzy Rule System

M. Shahbaz, A. Ali, M.M. Awais, and S.A. Masood

Keywords

Data Mining, Association Rules, Fuzzy Rules, Power Plants, FP Tree, Dependency Analysis

Abstract

This work is aimed at understanding dependency between various components of power plant. Controllable parameter along with natural parameters provides snapshot of the system. The parameter series has been used to exploit individual as well as collective behavior of the system. It will also be used to find reliance of various modules on each other. Causal rule discovered from this analysis is used to perform cost effective experiments and finding optimal parameters for system functionality. This work is focused on exploiting data for finding dependency between modules to get better insight into system behavior. Automated Fuzzy association rule discovery has been employed to model aspects of power plant

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