ベイズ更新による故障データの収集・整備と保全合理化
英字タイトル:
Development of failure data and Maintenance Rationalization by Using Bayesian Updating
著者:
笠井 雅夫 Masao KASAI 草苅 良至 Yoshiyuki KUSAKARI 能登谷 淳一 Junichi NOTOYA 西村 央 Hiroshi NISHIMURA
発刊日:
公開日:
Bayesian Estimation MethodBayesian Updating methodDegree of BeliefFailure Distribution FunctionMaximum Likelihood Estimation MethodPlant MaintenanceReplacement Interval
Development of failure data and Maintenance Rationalization by Using Bayesian Updating
著者:
笠井 雅夫 Masao KASAI 草苅 良至 Yoshiyuki KUSAKARI 能登谷 淳一 Junichi NOTOYA 西村 央 Hiroshi NISHIMURA
発刊日:
公開日:
カテゴリ: 第5回
キーワードタグ:Bayesian Estimation MethodBayesian Updating methodDegree of BeliefFailure Distribution FunctionMaximum Likelihood Estimation MethodPlant MaintenanceReplacement Interval
概要
Abstract This study represents the evaluation results of the interval estimation for Weibull parameters m and 1 by the methods based on the conventional statistics and the Bayesia n statistics. The interval estimations by the conventional statistics are not necessarily reliable when a lot of failure data are not available. Both methods provide almost same i nterval estimation when a lot of failure data are available. This study also represents the evaluation results of the replacement intervals of equipment and/or parts taking into account the interval estimations for Weibull parameters m and t. The failure data are generated by Monte Carlo simulations since the real failure data can not be available for us.
