Gd. Dounias et Nc. Tsourveloudis, POWER-PLANT FAULT-DIAGNOSIS USING A FUZZY KNOWLEDGE-BASED SYSTEM, International journal of engineering intelligent systems for electrical engineering and communications, 3(2), 1995, pp. 109-120
This paper presents a methodology for power plant fault diagnosis, whi
ch is based on inductive machine learning and fuzzy logic. Expert know
ledge concerning normal and faulty operation is acquired via knowledge
acquisition techniques. We aim toward the construction of a dynamical
ly changing fuzzy rule-based system, able to diagnose plant anomalies.
The proposed system, deals with two important malfunctions of the boi
ler's circuit, namely, tube leakage and fouling. We demonstrate our ap
proach by experimenting with real world data taken from a specific the
rmal plant.