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NASA NTRS · Other

Inflight and Preflight Detection of Pitot Tube Anomalies

Published 2018-06-05 From Glenn Research Center 1 author

Attribution

This is the abstract and citation. Full text lives at NASA NTRS — we link out rather than host. All credit to the authors and Glenn Research Center.

Abstract

Verbatim from NASA NTRS. Not paraphrased, not summarized.

The health and integrity of aircraft sensors play a critical role in aviation safety. Inaccurate or false readings from these sensors can lead to improper decision making, resulting in serious and sometimes fatal consequences. This project demonstrated the feasibility of using advanced data analysis techniques to identify anomalies in Pitot tubes resulting from blockage such as icing, moisture, or foreign objects. The core technology used in this project is referred to as noise analysis because it relates sensors' response time to the dynamic component (noise) found in the signal of these same sensors. This analysis technique has used existing electrical signals of Pitot tube sensors that result from measured processes during inflight conditions and/or induced signals in preflight conditions to detect anomalies in the sensor readings. Analysis and Measurement Services Corporation (AMS Corp.) has routinely used this technology to determine the health of pressure transmitters in nuclear power plants. The application of this technology for the detection of aircraft anomalies is innovative. Instead of determining the health of process monitoring at a steady-state condition, this technology will be used to quickly inform the pilot when an air-speed indication becomes faulty under any flight condition as well as during preflight preparation.

Author

  • Mitchell, Darrell W. Analysis and Measurement Services Corp.

Citation: Mitchell, Darrell W. (2018). Inflight and Preflight Detection of Pitot Tube Anomalies. Glenn Research Center. NASA NTRS ID 20150005308. https://ntrs.nasa.gov/citations/20150005308 ↗