Abstract: Diesel generator is the core equipment of the surface unmanned boat (USV),its health statusdirectly affects the navigation state of USV.In view of the health assessment of diesel generators,a method based on the convolution neural network was proposed.The health assessment model is established by using the basic parameters of the generator as the characteristic parameters,and the state of the motor health assessment is set out.Taking 100 ton electric propulsion USV diesel generator as an example,the model was verified,and the health state transition relationship and the health threshold of the starting motor are 0.03.Compared with the commonly used BP neural network,the convergence speed,recognition speed and accuracy of the model are obviously improved.

Key words: Convolutional neural network, Generator, Health assessment, Unmanned surface vehicle