Data Reduction Strategies-Reference-Cited by-同舟云学术

Data Reduction Strategies

Published:2021 Issue: Volume: Page:243-272
ISSN:1869-1730
Container-title:Structural Health Monitoring Damage Detection Systems for Aerospace
language:
Short-container-title:

Author:

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

Abstract

AbstractBased 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. 10.1007/978-3-030-72192-3_5 to 10.1007/978-3-030-72192-3_8 and established approaches to deal with the acquired data. This includes aspects of algorithms and legal issues arising in this context.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-72192-3_9

Reference119 articles.

1. Abdaoui A, El Fouly TM, Ahmed MH (2017) Impact of time synchronization error on the mode-shape identification and damage detection/localization in WSNs for structural health monitoring. J Netw Comput Appl 83:181–189. https://doi.org/10.1016/j.jnca.2017.01.004

2. Abdeljaber O, Avci O, Kiranyaz S et al (2017) Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. J Sound Vib 388:154–170. https://doi.org/10.1016/j.jsv.2016.10.043.

3. Abdulkarem M, Samsudin K, Rokhani FZ et al (2020) Wireless sensor network for structural health monitoring: a contemporary review of technologies, challenges, and future direction. Struct Health Monit 19:693–735. https://doi.org/10.1177/1475921719854528.

4. Alonso L, Barbarán J, Chen J et al (2018) Middleware and communication technologies for structural health monitoring of critical infrastructures: a survey. Comput Stand Interfaces 56:83–100. https://doi.org/10.1016/j.csi.2017.09.007.

5. Anastasi G, Conti M, Di Francesco M et al (2009) Energy conservation in wireless sensor networks: a survey. Ad Hoc Netw 7:537–568. https://doi.org/10.1016/j.adhoc.2008.06.003.