We show how fuzzy inference systems can be used in plant diagnosis when it is necessary.

FIS are able to integrate expertise and rule learning from data into a single framework.

FIS has expandability to diagnosis widely. This means that Fuzzy inference system can be applied to all power plant models in the same way.

Consequently, more measurement inputs, accurate knowledge and elaborate composition of Fuzzy sets can allow for more accurate diagnosis of performance degradation.