Presentation 1995/9/22
Case Stuidies on Reliability Growth Evaluation Through Models
Han LI JUN, Michio HORIGOME,
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Abstract(in English) Many kinds of reliability growth evaluations have been investigated so far. In this paper we propose to apply a regression model to field data, and then report characteristic results of a case study for evaluating the reliability growth. In particular, our idea is based on the Duane model, which is represented by a first order regressive relation when the data are plotted into the log-log paper. In this case, we determine the regression model through AIC, which is well known in the time series analysis. Finally, we show the usefulness of the method here by illustrating ananalytica I results of the field data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Duane Model / Regression Model / AIC / Reliability Growth Model
Paper # R95-11
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Committee R
Conference Date 1995/9/22(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Case Stuidies on Reliability Growth Evaluation Through Models
Sub Title (in English)
Keyword(1) Duane Model
Keyword(2) Regression Model
Keyword(3) AIC
Keyword(4) Reliability Growth Model
1st Author's Name Han LI JUN
1st Author's Affiliation Dept. of Electronic and Control Eng. Tokyo University of Mercantile Marine()
2nd Author's Name Michio HORIGOME
2nd Author's Affiliation Dept. of Electronic and Control Eng. Tokyo University of Mercantile Marine
Date 1995/9/22
Paper # R95-11
Volume (vol) vol.95
Number (no) 257
Page pp.pp.-
#Pages 6
Date of Issue