Abstract
This paper is concerned with a research about fuzzy neural networks and application in fault diagnosis of rotary machine. To build robust fault diagnosis by neural networks, fuzzy neural networks are proposed. Fuzzy neural networks can memorize fault patterns and recognize fault patterns by association, and have good tolerance to unstable practical sample data. Through application in monitoring and fault diagnosis of pump sets of oil plants, it was verified that fuzzy neural networks are effective to handle practical sample data and make accurate fault diagnosis.
