Skip to main content

Research Repository

Advanced Search

Data reduction strategies.

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

Authors

Basuraj Bhowmik

Said Quqa

Markus G.R. Sause

Vikram Pakrashi



Contributors

Markus G.R. Sause
Editor

Elena Jasiūnienė
Editor

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.

Citation

BHOWMIK, B., QUQA, S., SAUSE, M.G.R., PAKRASHI, V. and DROUBI, M.G. 2021. Data reduction strategies. In Sause, M.G.R. and Jasiūnienė, E. (eds.) Structural health monitoring damage detection systems for aerospace. Springer aerospace technology. Cham: Springer [online], chapter 9, pages 243-272. Available from: https://doi.org/10.1007/978-3-030-72192-3_9

Acceptance Date Sep 23, 2021
Online Publication Date Sep 23, 2021
Publication Date Dec 31, 2021
Deposit Date Oct 1, 2021
Publicly Available Date Oct 1, 2021
Publisher Springer
Pages 243-272
Series Title Springer aeorospace technology (SAT)
Series ISSN 1869-1730
Book Title Structural health monitoring damage detection systems for aerospace
Chapter Number Chapter 9
ISBN 9783030721916; 9783030721947
DOI https://doi.org/10.1007/978-3-030-72192-3_9
Keywords Data reduction; Model order reduction; Sampling rate; Wavelet transform; Compressed sensing; Real-time; Wireless sensing; Data rate; Data management
Public URL https://rgu-repository.worktribe.com/output/1474822

Files







You might also like



Downloadable Citations