Research of Diesel Engine Status Evaluation Based on SOM Neural Network

Aiming at the situation that the technical status of ship diesel engines is diverse, the evaluation methods are complex, and the accuracy of the assessment conclusions is not high enough, this paper gives full play to the advantages of machine learning, establishes a technical state evaluation model based on SOM neural network, and improves the accuracy of the evaluation results through unsupervised learning. The example shows that the method proposed in this paper is simple and feasible, the evaluation results are credible, and can be applied to engineering practice.