@article{oai:ipsj.ixsq.nii.ac.jp:00178665,
 author = {Yoji, Yamato and Yoshifumi, Fukumoto and Hiroki, Kumazaki and Yoji, Yamato and Yoshifumi, Fukumoto and Hiroki, Kumazaki},
 issue = {4},
 journal = {情報処理学会論文誌},
 month = {Apr},
 note = {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.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.25(2017) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.25.317
------------------------------, 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.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.25(2017) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.25.317
------------------------------},
 title = {Predictive Maintenance Platform with Sound Stream Analysis in Edges},
 volume = {58},
 year = {2017}
}