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Data reduction strategies

Basuraj Bhowmik*, Said Quqa, Markus G.R. Sause, Vikram Pakrashi, Mohamad Ghazi Droubi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

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Abstract

Based on the variety of methods available for gathering data for the aircraft health status, the challenge is to reduce the overall amount of data in a trackable and safe manner to ensure that the remaining data are characteristic of the current aircraft status. This chapter will cover available data reduction strategies for this task and discuss the data intensity of the SHM methods of Chaps. 5 to 8 and established approaches to deal with the acquired data. This includes aspects of algorithms and legal issues arising in this context.

Original languageEnglish
Title of host publicationSpringer Aerospace Technology
EditorsMarkus G. R. Sause, Elena Jasiūnienė
Place of PublicationCham, Switzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages243-272
Number of pages30
ISBN (Electronic)9783030721923
ISBN (Print)9783030721916
DOIs
Publication statusPublished - 23 Sept 2021

Publication series

NameSpringer Aerospace Technology
ISSN (Print)1869-1730
ISSN (Electronic)1869-1749

Keywords

  • compressed sensing
  • data management
  • data rate
  • data reduction
  • model order reduction
  • real-time
  • sampling rate
  • wavelet transform
  • wireless sensing

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