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“Sensitivity Study for Fault Detection System using Fuzzy Logic Methodology”. This study are focus on determine the best functional parameters in Fuzzy Inference System for fault detection application. In these studies, ten process faults have been designed for the experimental work and the data collected from the experiment were acted as an input into the fuzzy logic modeling. The variables of temperature, conductivity, conversion and concentration were acted as an input whereas, the process condition acted as an output for the modeling system. The sensitive studies are focusing on determine the best combination of functional parameters to detect and isolate various process condition considered in the study. - AZIM NAZRI