Research on fault pattern analysis of marine diesel engine based on random forest algorithm

A feature selection method, GRRF-A, based on guided regularized random forest is proposed in this paper, aiming at solving marine diesel engine fault problem. GRRF-A improves GRRF algorithm according to the characteristics of marine diesel engine by using mean decrease in accuracy as importance measure, which is proven to be effective. The computation cost of GRRF-A is small and its results are relatively accurate and stable, which makes this method more suitable for marine diesel engine diagnosis than other methods discussed in this paper.