DOI: http://id.nii.ac.jp/1001/00178577/
Predictive Maintenance Platform with Sound Stream Analysis in Edges
DOI:
https://doi.org/10.51094/jxiv.753Keywords:
Jubatus, Predictive Maintenance, IoT, Sound stream, Cloud Computing, Industrie 4.0Abstract
Recently, progress has been made in IoT technologies and applications in the maintenance area are expected. However, IoT maintenance applications are not widespread in Japan yet because of the one-off solution of sensing and analyzing for each case, the high cost collecting sensing data and insufficient maintenance automation. This paper proposes a maintenance platform which analyzes sound data in edges, analyzes only anomaly data in cloud and orders maintenance automatically.
Journal of Information Processing, Vol.25, No.4, pp.317-320, Apr. 2017.
Conflicts of Interest Disclosure
The authors declare no competing interest with this manuscript.Downloads *Displays the aggregated results up to the previous day.
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Submitted: 2024-06-15 04:35:48 UTC
Published: 2024-06-18 07:10:15 UTC
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Copyright (c) 2024
Yoji Yamato
Yoshifumi Fukumoto
Hiroki Kumazaki
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
