The Application of Random Forest and Morphology Analysis to Fault Diagnosis on the Chain Box of Ships

The Random Forest Algorithm (RFA), a classification and prediction models, developed by Leo Breima is generally known as the use of tree-classifier combination method. It has achieved good results when being applied to medicine, biology machine learning and other areas. However, only X. Di, T. Han, and B. S. Yang apply the RF to machinery fault diagnosis. This paper attempts to use RFA for fault classification. The results of simulation experiment indicate that RFA can effectively bring about the ship intelligent fault diagnosis of chain box.