Study of hybrid intelligent fault diagnosis
Guohuan Lou, Yuan Zhou, Zheng Qiang Yao · 2010
A hybrid intelligent fault diagnosis method is presented for the diversity, uncertainty and complexity of device faults. This method integrates respective advantages of fault tree, fuzzy theory, neural networks and genetic algorithms to form a hybrid approach and is applied to fault diagnosis of fan. Experiments show that this method is simple and effective. It can also be applied to other fault diagnosis of complex systems and has certain portability.