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- W2379496832 abstract "Based on the LSSVM optimized by particle swarm colony,a new analog circuit diagnosis method is proposed.Using the wavelet packet,this method eliminates the noise and makes the decomposition of fault signals of the analog circuit,then the feature data is organized as input of LSSVM.To avoid the local optimum in parameter optimization,particle swarm optimization method is used in optimizing the selection of parameter of LSSVM.The simulation results of fault diagnosis in Sallen-key band-pass filter shows,the LSSVM fault diagnosis method optimized by particle swarm could diagnose the fault of analog circuit effectively,and it increases the efficiency sharply." @default.
- W2379496832 created "2016-06-24" @default.
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- W2379496832 date "2012-01-01" @default.
- W2379496832 modified "2023-10-11" @default.
- W2379496832 title "Method of LSSVM optimized by particle swarm and its application in fault diagnosis of analog circuit" @default.
- W2379496832 hasPublicationYear "2012" @default.
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