Research on Fault Diagnosis Method of Building Electrical System Based on Variational and Quantum Algorithm Optimization
With the development of intelligent buildings,the complexity of building electrical systems is increasing,and the fault types are diverse and the characteristics are not obvious,which brings great challenges to fault diagnosis.In this paper,we propose a method based on the combination of Variational Mode Decomposition(VMD)and a novel Multidimensional Dimensionless Index(MDI),and optimize the support vector machine(QGA-SVM)through quantum genetic algorithm to improve the accuracy and efficiency of fault diagnosis.Experimental results show that compared with traditional fault diagnosis methods,the proposed method has superior performance in feature extraction and classification accuracy,and the average test accuracy reaches 91.67％.
Building electrical systemFault diagnosisVariational Mode Decomposition(VMD)Quantum Genetic Algorithm(QGA)
万方数据
维普
