Research on fault warning of marine diesel engine cooling system based on Deep Belief Network

Abstract

With the development of artificial intelligence and big data technology, deep learning has been applied to fault warning and diagnosis. In this paper, the typical failure modes of marine diesel engine cooling system are analyzed, and the characteristic parameters are selected. The fault warning model is established based on the deep belief neural network (DBN). The training and testing of the model are carried out by using the experiment data of a marine diesel engine. The results show that the deep belief neural network can effectively realize the fault warning of marine diesel engine cooling system.