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2014 | OriginalPaper | Chapter

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

Authors : Zheng Liu, Nezih Mrad

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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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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previous chapter The Research and Application of Multi-Resource Heterogeneous Data Fusion on Dynamic Traffic Routing System
next chapter Multiscale Image Segmentation via Exact Inference of Hidden Markov Tree
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Metadata
Title
Data Fusion for the Diagnostics, Prognostics, and Health Management of Aircraft Systems
Authors
Zheng Liu
Nezih Mrad
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Foundations and Practical Applications of Cognitive Systems and Information Processing

Print ISBN: 978-3-642-37834-8

Electronic ISBN: 978-3-642-37835-5

Copyright Year: 2014

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

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