Fault Detection In Artificial Intelligence Based Air Data Systems

A method and apparatus for detecting a fault in a sensor for an air data system, for example a flush air data system (FADS), which uses artificial intelligence, for example a neural network, to generate air data parameters is disclosed. The method and apparatus generate air data parameters as a function of measured values such as static pressures. The system also generates a fault detection value based upon the received value. The fault detection value is then input into a second network having artificial intelligence, for example a neural network, to determine if a sensor has experienced a fault.