Study on Abnormal Operation Identification of Marine Generators Based on Multi Feature Fusion
Complex structure of marine generator sets and large and complex data generated during operation pose a seri-ous challenge for identifying abnormal operation of generators.Therefore a method for identifying abnormal operation of marine generators based on multi feature fusion was studied.The operation data of marine generators were collected and preprocessed.Different types and dimensions of marine generator operation status features were extracted from the opera-tion data and fused.By using SVM classification,the fused features were identified,obtaining the abnormal operation rec-ognition results of marine generators.Experimental results show that the designed method achieves an accuracy of 97.68%in identifying abnormal operation of marine generators,and thus is effective and feasible.
multi feature fusionmarine generatorabnormal operationabnormal identification