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- W2379315889 abstract "Aimed at complex sensors faults of aircraft control system,the fault diagnosis models are set up and various fault data are acquired.Three wavelet neural networks are constructed.An improved particle swarm algorithm called hybrid particle swarm algorithm optimization is proposed.The wavelet neural networks are trained by this optimization.The wavelet neural networks structures are simplified by discrete particle swarm algorithm.The wavelet neural networks weighs are optimized by based particle swarm algorithm.This method is used in sensors faults diagnosis of flight control system.The experimental results show that the method identifies all sensors faults of aircraft control system effectively and eliminates the influences on the fault diagnosis capabilities because of the redundant structures in the wavelet neural networks." @default.
- W2379315889 created "2016-06-24" @default.
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- W2379315889 date "2011-01-01" @default.
- W2379315889 modified "2023-09-25" @default.
- W2379315889 title "Faults Diagnosis Using Wavelet Neural Networks Based on Hybrid Particle Swarm Algorithm" @default.
- W2379315889 hasPublicationYear "2011" @default.
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