Online Fault Diagnosis of Building Electrical System Based on LS-SVM
The online fault diagnosis method of building electrical system abnormal fault directly carries out high-dimensional feature analysis of fault abnormal signal without sampling the operating data of building electrical system,resulting in poor fault diagnosis effect of the method.Therefore,an online fault diagnosis method of building electrical system abnormal fault based on LS-SVM is proposed.The running data of the building electrical system is sampled,and the fault anomaly signal is analyzed according to the sampling results.Finally,the system fault classification detection is realized based on LS-SVM.The experimental results show that this method has lower false report rate and better diagnostic effect.
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