Abstract
In this paper a framework for an intelligent sensor with real-time diagnosis and rectification is proposed. It is based on the combination of recurrent neural networks and the information fusion technique. The architecture is constructed to perform sensor detection, isolation and accommodation, along with description of recurrent neural networks and multisensory information fusion. Simulation results show good performance on the application to some type airplane.
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