Fault Diagnosis for the Wireless Control Explorer Based on the Rough Set and Wavelet Neural Network
Jin Feng-jie · Journal of Projectiles.Rockets.Missiles and Guidance · 2006
An approach of fault diagnosis for the wireless control explorer based on rough set and wavelet neural network is presented.This method makes use of the ability of the rough set disposing the uncertain fault information,mining the fault diagnosis knowledge of the wireless control explorer,through the wavelet neural network ability of self-learning, mode recognition,and fault tolerance based on the Sigmoid function to realize the fault diagnosis for the wireless control explorer.It's an effective way to diagnose the fault for the wireless control explorer by analyzing and validating.