Fault diagnosis of certain type of tank fire control system based on BP neural network

In order to solve the problems existing in the fault diagnosis of tank fire control system, such as bigger subjectivity and less accuracy, a fault diagnosis model based on BP (Back Propagation) is studied. The working conditions of tank fire control system are described with a group of state parameters. A fault diagnosis model is established and a self adaptive variable BP learning algorithm is designed. Finally, a simulation is conducted with MATLAB. The results show that the convergence time of this algorithm is short, and this model is able to make fire control system fault diagnosis rapidly and accurately.