Presentation 2017-07-27
Time series analysis of failure rates of equipments for telecommunication networks.
Hiroyuki Funakoshi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The author has been analyzed the failure rate of telecommunication network equipments by time series analysis using ARIMA model, and has made predictions using the results. However, there are cases where it could not be predicted appropriately depending on the type of device. In this article, the author predict the state space model of failure rate by Bayesian inference. Moreover, the example of analysis using actual outage data is also shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) failure rate / time series analysis / state space model / Bayesian inference
Paper # CQ2017-35
Date of Issue 2017-07-20 (CQ)

Conference Information
Committee CQ
Conference Date 2017/7/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kobe University
Topics (in Japanese) (See Japanese page)
Topics (in English) Assessment, Measurement and Control of QoE and QoS, etc.
Chair Takanori Hayashi(HIT)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT)
Secretary Hideyuki Shimonishi(Keio Univ.) / Jun Okamoto(NTT)
Assistant Norihiro Fukumoto(KDDI Research) / Kenko Ota(NIT) / Ryo Yamamoto(UEC)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Time series analysis of failure rates of equipments for telecommunication networks.
Sub Title (in English) State space model using Bayesian inference
Keyword(1) failure rate
Keyword(2) time series analysis
Keyword(3) state space model
Keyword(4) Bayesian inference
1st Author's Name Hiroyuki Funakoshi
1st Author's Affiliation Nippon Telegraph and Telephone Corp.(NTT)
Date 2017-07-27
Paper # CQ2017-35
Volume (vol) vol.117
Number (no) CQ-159
Page pp.pp.37-42(CQ),
#Pages 6
Date of Issue 2017-07-20 (CQ)