第5回
ベイズ更新による故障データの収集・整備と保全合理化
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:
キーワードタグ:
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 equipmen...
英字タイトル:
Development of failure data and Maintenance Rationalization by Using Bayesian Updating