Analyzing machine noise for real time maintenance

Yoji Yamato; Yoshifumi Fukumoto; Hiroki Kumazaki

doi:10.1117/12.2266108

8 February 2017 Analyzing machine noise for real time maintenance

Yoji Yamato, Yoshifumi Fukumoto, Hiroki Kumazaki

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102252I (2017) https://doi.org/10.1117/12.2266108
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

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.

Citation Download Citation

Yoji Yamato, Yoshifumi Fukumoto, and Hiroki Kumazaki "Analyzing machine noise for real time maintenance", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102252I (8 February 2017); https://doi.org/10.1117/12.2266108

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