Diagnosis System of Abnormality in Refuse Incineration Plant using Fuzzy Logic

Abstract

A fuzzy expert system for abnormality diagnosis is developed for all component equipment at a refuse incineration plant. Since fuzzy logic is applied to the reasoning function, diagnosis can be made even in the case of abnormality under unstable conditions of the plant and under transitional conditions, and this system is more flexible than those of the past. At the same time, patterned diagnosis knowledge by membership functions provides a good effect to the human interface, compared with word expression. For example, easy acquisition and modification of the knowledge and easy understanding of the diagnosis process are attained. The results of diagnosis are output audiolly and visually and provide information for removal and correction of the cause of abnormality. This system is in actual operation at several plants.