To solve the complex, diverse and difficult to identify problems in marine diesel engine fault diagnosis while effectively improving the classification accuracy , a novel method of marine diesel engine fault diagnosis is proposed based on genetic algorithm (GA) optimized composite kernel support vector machine (SVM). Firstly, a composite kernel is constituted by combining global kernel (polynomial kernel) with local kernel (RBF kernel).Then binary coded genetic algorithm is used for parameter optimization of composite kernel SVM. Multiclasses of marine diesel engine faults are diagnosed. Experiment results show that the proposed method has the higher classification accuracy.
Key words
marine diesel engine /
fault diagnosis /
genetic algorithm (GA) /
composite kernel /
support vector machine (SVM)
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