Fault Diagnosis of Ship Ballast Water System Based on Random Forest
Aiming at the problem that the working environment of ship ballast water system is poor,the related equipment is prone to failure,and the traditional manual fault detection method is time-consuming and has a high misjudgment rate,a fault diagnosis method of ship ballast water system based on random forest algorithm is proposed.Taking 180 groups of operation data of ballast water system in five operation states of a large container ship simulator as the most sample,150 groups of data are randomly selected as the training set,and 30 groups of data are selected as the test set.The mathematical software MATLAB is used to build the model.The results show that the overall accuracy of the model is more than 95％,which can accurately identify the common faults of ship ballast water system.
ballast water systemrandom forestfault diagnosis modelClassification and Regression Tree(CART)algorithmdecision tree
万方数据
维普
