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Proceedings Paper

Analyzing machine noise for real time maintenance
Author(s): Yoji Yamato; Yoshifumi Fukumoto; Hiroki Kumazaki
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Paper Abstract

Recently, IoT technologies have been progressed and applications of maintenance area are expected. However, IoT maintenance applications are not spread in Japan yet because of one-off solution of sensing and analyzing for each case, high cost to collect 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 to resolve existing technology problems. We also implement a sample application and compare related work.

Paper Details

Date Published: 8 February 2017
PDF: 7 pages
Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102252I (8 February 2017); doi: 10.1117/12.2266108
Show Author Affiliations
Yoji Yamato, Nippon Telegraph and Telephone Corp. (Japan)
Yoshifumi Fukumoto, Nippon Telegraph and Telephone Corp. (Japan)
Hiroki Kumazaki, Nippon Telegraph and Telephone Corp. (Japan)


Published in SPIE Proceedings Vol. 10225:
Eighth International Conference on Graphic and Image Processing (ICGIP 2016)
Yulin Wang; Tuan D. Pham; Vit Vozenilek; David Zhang; Yi Xie, Editor(s)

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