1 Citation (Scopus)

Abstract

The air traffic control (ATC) system is critical in maintaining the safety and integrity of the National Airspace System (NAS). This requires the information fusion from various sources. This paper introduces a hybrid network model called the Bayesian-Entropy Network (BEN) that can handle various types of information. The BEN method is a combination of the Bayesian method and the Maximum Entropy method. The Maximum Entropy method introduces constraints and is given as an exponential term added to the classical Bayes' theorem. The exponential term can be used to encode extra information in the form of constraints. The extra information can come from human experience, historical data etc. These knowledges, once written in a mathematical format, can be incorporated into the classical Bayesian framework. The BEN method provides an alternative way to consider common data types (e.g., point observation) and uncommon data types (e.g., linguistic description for human factors) in the NAS. The reported work is demonstrated in two example problems. The first example involves an air traffic control network model and the BEN uses information from various sources to update for the risk event probability. The second example is related to the prediction of the cause of runway incursion. A network model studying different sources of error is used to make predictions of the cause of runway incursion. The training and validation data is extracted from existing accident report in the Aviation Safety Reporting System (ASRS) database. The results are compared with that of the traditional Bayesian method. It is found that the BEN can make use of the available information to modify the distribution function of the parameter of concern.

Original languageEnglish (US)
Title of host publicationPHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society
EditorsMarcos Orchard, Anibal Bregon
PublisherPrognostics and Health Management Society
ISBN (Electronic)9781936263059
StatePublished - Aug 24 2018
Event10th Annual Conference of the Prognostics and Health Management Society, PHM 2018 - Philadelphia, United States
Duration: Sep 24 2018Sep 27 2018

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)2325-0178

Conference

Conference10th Annual Conference of the Prognostics and Health Management Society, PHM 2018
CountryUnited States
CityPhiladelphia
Period9/24/189/27/18

Fingerprint

Information Services
Information fusion
Entropy
Aviation
Maximum entropy methods
Bayes Theorem
Air traffic control
Information use
Human engineering
Security systems
Linguistics
Safety
Distribution functions
Accidents
Control systems
Research Design
Observation
Databases

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

Cite this

Wang, Y., Liu, Y., Sun, Z., & Tang, P. (2018). A Bayesian-entropy network for information fusion and reliability assessment of national airspace systems. In M. Orchard, & A. Bregon (Eds.), PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM). Prognostics and Health Management Society.

A Bayesian-entropy network for information fusion and reliability assessment of national airspace systems. / Wang, Yuhao; Liu, Yongming; Sun, Zhe; Tang, Pingbo.

PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. ed. / Marcos Orchard; Anibal Bregon. Prognostics and Health Management Society, 2018. (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, Y, Liu, Y, Sun, Z & Tang, P 2018, A Bayesian-entropy network for information fusion and reliability assessment of national airspace systems. in M Orchard & A Bregon (eds), PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM, Prognostics and Health Management Society, 10th Annual Conference of the Prognostics and Health Management Society, PHM 2018, Philadelphia, United States, 9/24/18.
Wang Y, Liu Y, Sun Z, Tang P. A Bayesian-entropy network for information fusion and reliability assessment of national airspace systems. In Orchard M, Bregon A, editors, PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. Prognostics and Health Management Society. 2018. (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM).
Wang, Yuhao ; Liu, Yongming ; Sun, Zhe ; Tang, Pingbo. / A Bayesian-entropy network for information fusion and reliability assessment of national airspace systems. PHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society. editor / Marcos Orchard ; Anibal Bregon. Prognostics and Health Management Society, 2018. (Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM).
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