Gear fault diagnosis method of intelligence based on genetic algorithm to optimize the BP neural network

The work of the gear transmission is very complex, and its failure in the form and features tend to show non-linear mapping. Fault signal is often submerged in conventional vibration signal and noise, it is not easy using traditional signal processing methods to extract fault features which in a difficult to gear fault diagnosis. This paper based on the genetic algorithm to optimize the structure of the BP neural network model for the intelligent diagnosis system which is used in gear fault diagnosis. The experimental results show that this method can be effectively used for the diagnosis and identification of the gears common fault type.