Data reduction strategies.
Bhowmik, Basuraj; Quqa, Said; Sause, Markus G.R.; Pakrashi, Vikram; Droubi, Mohamad Ghazi
Markus G.R. Sause
Dr Ghazi Droubi email@example.com
Academic Team Lead
Markus G.R. Sause
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.
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|
|Series Title||Springer aeorospace technology (SAT)|
|Book Title||Structural health monitoring damage detection systems for aerospace|
|Chapter Number||Chapter 9|
|Keywords||Data reduction; Model order reduction; Sampling rate; Wavelet transform; Compressed sensing; Real-time; Wireless sensing; Data rate; Data management|
BOWMIK 2021 Data reduction strategies (VOR)
Publisher Licence URL
© The Author(s) 2021.
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