Fault diagnosis on cooling system of ship diesel engine based on Bayes network classifier
Jinke Gong · Journal of Central South University(Science and Technology) · 2010
Due to the randomness and uncertainty of fault diagnosis data from cooling system of ship diesel engine,Naive Bayes(NB) and tree augmented naive Bayes(TAN) diagnostic model on cooling system of ship diesel engine were set up based on Bayes network classifier.The results show that the effectiveness of NB model and TAN model can be enhanced by the self-improvement method.When the training samples are accumulated,these models will modify their structure and probability distribution.The correction rates of the proposed models are higher than 80.57%.