Channel State Information (CSI) analysis for predictive maintenance using Convolutional Neural Network (CNN)

Prachi Bagave (Saxion University of Applied Sciences) (Creator)
Jeroen Linssen (Saxion University of Applied Sciences) (Creator)
Wouter Teeuw (Saxion University of Applied Sciences) (Creator)
Jeroen Klein Brinke (Creator)
Nirvana Meratnia (Creator)

Dataset

Description

This dataset contains CSI amplitude values for rotating motors in an office environment. Details of the experiments may be found in the corresponding paper published in the DATA'19 workshop, SenSys (https://doi.org/10.1145/3359427.3361917)

Date made available	20 Sept 2019
Publisher	Zenodo

DOI
10.5281/zenodo.3452875

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1 Conference contribution

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)
Bagave, P., Linssen, J., Teeuw, W. B., Klein Brinke, J. & Meratnia, N., 10 Nov 2019, DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis. New York, NY, p. 51-56 6 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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7 Citations (Scopus)

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Channel State Information (CSI) analysis for predictive maintenance using Convolutional Neural Network (CNN)

Description

DOI

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Research output

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutional Neural Network (CNN)

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