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2014 | OriginalPaper | Buchkapitel

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

verfasst von : Zheng Liu, Nezih Mrad

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

Verlag: 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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Vorheriges Kapitel The Research and Application of Multi-Resource Heterogeneous Data Fusion on Dynamic Traffic Routing System

Nächstes Kapitel Multiscale Image Segmentation via Exact Inference of Hidden Markov Tree

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Titel: Data Fusion for the Diagnostics, Prognostics, and Health Management of Aircraft Systems
verfasst von: Zheng Liu
Nezih Mrad
Verlag: Springer Berlin Heidelberg
Buch: 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-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-37835-5_34

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