Abstract: A method providing fault isolation, in an air data system which uses artificial intelligence to generate an air data parameter, includes generating the air data parameter as a function of a plurality of measured values such as static pressures. Then, estimates of each of the plurality of measured values is generated as a function of the generated air data parameter. Each measured value can then be compared to its corresponding estimate to determine if a difference between the measured value and its corresponding estimate exceeds a threshold and therefore indicates a fault in a device which provides the measured value.

Abstract: A method of calculating a system level air data parameter for an aircraft, for example aircraft angle-of-attack (AOA) and/or angle-of-sideslip (AOS), includes measuring a plurality of local static pressures pi. Next, a plurality of non-dimensional pressure ratios are each generated as a function of one of the plurality of local static pressures pi, a predicted system static pressure Pspredicted, and a predicted impact pressure qc predicted. Then, the system level air data parameter is calculated as a function of the generated plurality of non-dimensional pressure ratios. Air data systems having air data computers configured to implement the method are also disclosed. The air data systems can be Flush Air Data Systems (FADS), or other types of air data systems.

Abstract: A system for determining physical characteristics of an incident flow stream over a surface of a vehicle includes a plurality of acoustic sensors mounted to the surface and configured to sense pressure fluctuations caused by the incident flow stream. The plurality of acoustic sensors provide output signals indicative of the sensed pressure fluctuations. Processing circuitry coupled to the plurality of acoustic sensors, measures flow velocity in a first direction as a function of the output signals of at least two of the plurality of acoustic sensors, and measures flow velocity in a second direction as a function of the output signals of at least two of the plurality of acoustic sensors. The processing circuitry is configured to calculate an angular direction of flow as a function of the first and second measured flow velocities.