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Data Fusion for the Diagnostics, Prognostics, and Health Management of Aircraft Systems

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Foundations and Practical Applications of Cognitive Systems and Information Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 215))

Abstract

In the diagnostics, prognostics, and health management (DPHM) program for aircraft, enormous data, information, and knowledge relevant to the health states of aircraft are collected from various sources. The proper interpretation and using of these data and information constitute the basis for a sound decision making of maintenance activities. The raw data is pre-processed, extracted, combined, and integrated into reference information for decision making. Data fusion becomes a key technology at varied levels in this process This paper identifies and describes the role of data fusion in the context of modern DPHM program.

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Author information

Authors and Affiliations

  1. Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, 468-8511, Japan

    Zheng Liu

  2. Department of National Defence, Operational Analysis and Systems Integration Support Defence R&D Canada Atlantic, National Defence Headquarters, Ottawa, ON, K1A 0R6, Canada

    Nezih Mrad

Authors
  1. Zheng Liu
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  2. Nezih Mrad
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Corresponding author

Correspondence to Zheng Liu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China

    Fuchun Sun

  2. College of Mechatronics and Automation, National University of Defense Technolog, Changsha, People's Republic of China

    Dewen Hu

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, People's Republic of China

    Huaping Liu

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Liu, Z., Mrad, N. (2014). Data Fusion for the Diagnostics, Prognostics, and Health Management of Aircraft Systems. In: Sun, F., Hu, D., Liu, H. (eds) Foundations and Practical Applications of Cognitive Systems and Information Processing. Advances in Intelligent Systems and Computing, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37835-5_34

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  • DOI: https://doi.org/10.1007/978-3-642-37835-5_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37834-8

  • Online ISBN: 978-3-642-37835-5

  • eBook Packages: EngineeringEngineering (R0)

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