Fault Diagnosis of Marine Turbocharging System Based on Data Equalization
In the aspect of fault diagnosis of ship turbocharging system,aiming at the imbalance be-tween normal state and fault state data,Entropy-Weight SMOTE method based on entropy weight was adopted to enhance the data samples and improve the imbalance of the samples.Combined with support vector machine(SVM),the fault was diagnosed.Based on the existing SMOTE algorithm and entropy theory,the fault diagnosis model of turbocharging system based on Entropy-Weight SMOTE and SVM was established with the operation data of ship power system simulation platform as the sample set.The data samples of ship power simulation platform were imported into the model for simulation calculation,and the feasibility of this method was judged by synthesizing various evalu-ation indexes.The simulation results show that the classification accuracy and comprehensive index(F-Measure)are improved by 5.1％and 6.5％after sample equalization with Entropy-Weight SMOTE.The results show that this method can effectively improve the fault classification effect of turbocharging system when the data samples are unbalanced.
support vector machinesturbocharger unitsample equalizationfault diagnosisentropy weight
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